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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">ESD</journal-id>
<journal-title-group>
<journal-title>Earth System Dynamics</journal-title>
<abbrev-journal-title abbrev-type="publisher">ESD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Dynam.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2190-4987</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/esd-8-147-2017</article-id><title-group><article-title>Role of moisture transport for Central American precipitation</article-title>
      </title-group><?xmltex \runningtitle{Role of moisture transport for Central American precipitation}?><?xmltex \runningauthor{A.~M.~Dur\'{a}n-Quesada et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Durán-Quesada</surname><given-names>Ana María</given-names></name>
          <email>ana.duranquesada@ucr.ac.cr</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Gimeno</surname><given-names>Luis</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Amador</surname><given-names>Jorge</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Department of Atmospheric, Oceanic and Planetary Physics, University of Costa Rica, San José, Costa Rica</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Center for Geophysical Research, University of Costa Rica, San José, Costa Rica</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Environmental Physics Laboratory, University of Vigo, Vigo, Spain</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Ana María Durán-Quesada (ana.duranquesada@ucr.ac.cr)</corresp></author-notes><pub-date><day>28</day><month>February</month><year>2017</year></pub-date>
      
      <volume>8</volume>
      <issue>1</issue>
      <fpage>147</fpage><lpage>161</lpage>
      <history>
        <date date-type="received"><day>1</day><month>December</month><year>2016</year></date>
           <date date-type="rev-request"><day>6</day><month>December</month><year>2016</year></date>
           <date date-type="accepted"><day>31</day><month>January</month><year>2017</year></date>
      </history>
      <permissions>
<license license-type="open-access">
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</permissions><self-uri xlink:href="https://esd.copernicus.org/articles/8/147/2017/esd-8-147-2017.html">This article is available from https://esd.copernicus.org/articles/8/147/2017/esd-8-147-2017.html</self-uri>
<self-uri xlink:href="https://esd.copernicus.org/articles/8/147/2017/esd-8-147-2017.pdf">The full text article is available as a PDF file from https://esd.copernicus.org/articles/8/147/2017/esd-8-147-2017.pdf</self-uri>


      <abstract>
    <p>A climatology of moisture sources linked with Central
American precipitation was computed based upon Lagrangian trajectories for
the analysis period 1980–2013. The response of the annual cycle of
precipitation in terms of moisture supply from the sources was analysed.
Regional precipitation patterns are mostly driven by moisture transport from
the Caribbean Sea (CS). Moisture supply from the eastern tropical Pacific (ETPac)
and northern South America (NSA) exhibits a strong seasonal pattern
but weaker compared to CS. The regional distribution of rainfall is largely
influenced by a local signal associated with surface fluxes during the first
part of the rainy season, whereas large-scale dynamics forces rainfall
during the second part of the rainy season. The Caribbean Low Level Jet (CLLJ)
and the Chocó Jet (CJ) are the main conveyors of regional
moisture, being key to define the seasonality of large-scale forced
rainfall. Therefore, interannual variability of rainfall is highly dependent
of the regional LLJs to the atmospheric variability modes. The El
Niño–Southern Oscillation (ENSO) was found to be the dominant mode
affecting moisture supply for Central American precipitation via the
modulation of regional phenomena. Evaporative sources show opposite anomaly
patterns during warm and cold ENSO phases, as a result of the strengthening
and weakening, respectively, of the CLLJ during the summer months. Trends in
both moisture supply and precipitation over the last three decades were
computed, results suggest that precipitation trends are not homogeneous for
Central America. Trends in moisture supply from the sources identified show
a marked north–south seesaw, with an increasing supply from the CS
Sea to northern Central America. Long-term trends in moisture supply are
larger for the transition months (March and October). This might have
important implications given that any changes in the conditions seen during
the transition to the rainy season may induce stronger precipitation trends.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Central America consists of a relatively thin strip of land surrounded by
three large warm-water bodies, namely the Caribbean Sea, the easternmost
tropical Pacific (ETPac), and the Gulf of Mexico (GoM). The region is known
to be highly vulnerable to droughts, floods and associated landslides. A
high percentage of the disasters related to natural phenomena reported in
the area are linked to hydrometeorological events (Alfaro et al., 2014), which produce
significant economic losses, as well as human casualties. Socio-economic
development in the region is somewhat constrained by the annual cycle of
rainfall, given that agriculture is one of the main economic drivers. Any
improvement in terms of regional weather forecasting remains elusive as long
as knowledge of regional precipitation and its sources is limited. The
overall effect of major tropical disturbances on regional patterns of
precipitation lacks scientific understanding, and this too affects the
accuracy of forecasting. The role of the Intra-Americas Sea (IAS) in the
relevant tropic–midlatitude interaction and feedback processes also requires
further investigation (Douville et al., 2011). In very broad terms, the regional weather and
climate are influenced by large sources of latent heat, strong easterly
winds, the North Atlantic Subtropical High (NASH), high sea surface
temperatures (SSTs), and intense precipitation (Wang, 2007). Regional terrain,
including topography and diverse vegetation, which is found to be of importance
(Lachniet et al., 2007), is still not properly represented in numerical simulations. The
horizontal “seesaw” observed in Central American precipitation is often
attributed to the effect of the continental divide. Drier conditions in
northern Central America and the Pacific slope are in contrast with a wetter
Caribbean side. The annual cycle of precipitation is characterised by a
bimodal distribution that exhibits a minimum in July–August and maximum
values in June and September–October. This bimodal distribution of
precipitation, known as midsummer drought (MSD; after Magaña et al., 1999), is more marked on
the Pacific side. On the Caribbean slope, heavy precipitation is observed
during May and June, followed by a drastic reduction in late June, leading
to a drier and less cloudy July–August (Taylor and Alfaro, 2005). Several authors have pointed to
the seasonal migration of the Intertropical Convergence Zone (ITCZ), deep
convection, low-level moisture transport, cyclone activity, and mid-latitude
air intrusions as being the main drivers of regional precipitation (Schulz
et al., 1997; Amador et al., 2006; Durán-Quesada et al., 2010; among others).
Studies on the effect of large-scale structures such as the ITCZ on regional
precipitation are scarce (Hidalgo et al., 2015), and some important interactions, including
links with the tropical Pacific, are not fully understood. The region is
influenced by deep convection and highly active stratiform precipitation. A
large deep convective core is located over the Panama Bight (Zuluaga and Houze Jr., 2015), with an
extended area of stratiform precipitation that becomes relevant for overall
rainfall. The effect of mid-latitude interactions is known to be mostly
related to the occurrence of rainfall during the dry period on the Pacific
slope between November and February (Zárate, 2013; Sáenz and Durán-Quesada, 2015; Moron et al., 2016).</p>
      <p>Previous works by the authors using global (Durán-Quesada et al., 2010) and limited domain
(Durán-Quesada, 2012) trajectories identified the sources of moisture linked to Central American
precipitation. Their results highlighted the role of the Caribbean as the
main source of moisture and the relevance of the Caribbean Low Level Jet
(Amador, 1998, 2008) as a regional moisture conveyor. Wang et al. (2013) analysed the moisture transport from
the Caribbean to the Pacific across the Americas, highlighting the CLLJ as
an interbasin moisture transport mechanism. These results, together with
those of several authors, including Xu et al. (2005), Leduc et al. (2007), and Richter and Xie (2010), show coherence on the relevance of
moisture transport from the Caribbean Sea. However, other regional moisture
suppliers are poorly understood and the key processes that drive Central
American precipitation remain unclear. The importance of other structures,
including the Chocó Jet (CJ), has mainly been considered in terms of
interannual variability modes (Poveda and Mesa, 2000) and mesoscale convective systems
(MCSs; Zuluaga Arias and Poveda Jaramillo, 2004). The response of regional precipitation to moisture supply from
evaporative sources at different timescales has not yet been fully
addressed. The connectivity between moisture transport from northern South
America (NSA) to Central America also requires further consideration.
Moreover, long-term trends in moisture supply and their effect on detected
precipitation and low-level wind trends have never been documented for the
Central American case.</p>
      <p>This study is devoted to the long-term analysis of the importance of
moisture supply to Central American precipitation, from the annual cycle to
some aspects of interannual variability. Moisture transport controlled by
regional LLJs is analysed to better explain the transport of moisture at
intraseasonal scales and to study the modulation of these scales by
interannual modes of atmospheric variability (i.e. El
Niño–Southern Oscillation, ENSO). Trends in
significant precipitation and moisture supply are analysed in order to
assess consistency among precipitation trends and detected tendencies in
terms of moisture supply. The remainder of the paper is organised as
follows. Sect. 2 provides information on the methods and data used. The
analysis of moisture supply for Central American precipitation from the
identified sources is presented from a climatological perspective in Sect. 3.
The annual cycle of moisture supply to Central American precipitation is
then discussed further in Sect. 4. Section 5 emphasises the response of
precipitation to moisture supply under ENSO conditions. An analysis of
moisture supply and long-term trends in precipitation is given in Sect. 6,
and some concluding remarks are presented in Sect. 7.</p>
</sec>
<sec id="Ch1.S2">
  <title>Data and methodology</title>
      <p>In the present study the identification of moisture sources is based on the
source–receptor relationship of the hydrological cycle. A Lagrangian
numerical water vapour tracer approach was implemented. Considering that the
region is characterised by intense rainfall and high rates of evaporation,
we used the method developed by Stohl and James (2004), because unlike other methods it provides a
diagnostic of the net freshwater flux (<inline-formula><mml:math id="M1" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M2" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M3" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>) rather than of evaporation (<inline-formula><mml:math id="M4" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula>)
alone (Gimeno et al., 2012). Global Lagrangian backward trajectories were
generated using the Lagrangian particle dispersion model FLEXPART version 8
(Eckhardt et al., 2008) initialised with ERA-Interim Reanalysis data (Dee et al., 2011) using a
0.75<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> horizontal resolution with water vapour as a tracer. Input data consisted of
analyses every 6 h (00:00, 06:00, 12:00 and 18:00 UTC) with 3-hourly
forecasts for intermediate times (03:00, 09:00, 15:00, 21:00 UTC). Ten-day
Lagrangian backward trajectories were generated in a global domain for a
total of 2.5 <inline-formula><mml:math id="M6" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> particles uniformly distributed within it, with each
receiving the same mass. The accuracy of the method used to detect
precipitation was assessed for Costa Rica by comparing rainy days detected
from the trajectories with rainy days based on TRMM (Tropical Rainfall
Measuring Mission; Huffman et al., 2007) and rain gauges located across the country. The
trajectories method captured up to 86 % (82 %) of rainy days for the
analysis domain detected by TRMM (rain gauges) over the period 2007–2012.
Notice that for the Central Valley area, the matching of rainy days between
the used rain gauges and TRMM is on average 90 %. Accuracy of TRMM
rainfall amount estimates for Central America deserves validation; however,
this is not the focus of the present work. Following the <inline-formula><mml:math id="M8" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> (evaporation) and
<inline-formula><mml:math id="M9" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> (precipitation) diagnostics approach of Stohl and James (2004), precipitating air masses over
the Central American region (defined as a polygon following the Central
American borders) were tracked backwards in time for 10 days. The net fresh
water flux was estimated for daily aggregates, with daily information
averaged on a monthly basis to obtain the 1980–2013 climatology. Notice that
in (<inline-formula><mml:math id="M10" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M11" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M12" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:msup><mml:mo>)</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> the minus sign means backwards and the number 10 represents
the number of days for which the air particles were tracked. Moisture
exports from the identified evaporative sources to Central America were
quantified to generate long-term time series of moisture export. The same
procedure was applied on a country basis as the results will be also
discussed from the country-wide perspective. Notice that consistency between
the results for the Central America polygon and the integration of country
polygons was evaluated. Internal variations were evaluated using
noise–signal detection analysis, the results indicated there were no
statistically significant internal variations.</p>
      <p>A set of indices was used to evaluate the relationship between the
contribution of the moisture sources to Central American precipitation and
regional mechanisms. To quantify the intensity of the regional low-level
jets, a CLLJ index was computed as the 925 hPa zonal wind averaged in the
region 12.5–17.5<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 80–70<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W, based on previous work by Amador (1998, 2008) and Amador
et al. (2006), and similar to that defined by Wang (2007). A CJ
index was calculated as the 925 hPa zonal wind averaged for the region of
5<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S–7.5<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 80<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W, following the definition of Poveda and Mesa (2000).
Outgoing longwave radiation (OLR) from Chelliah and Arkin (1992) was averaged for five regions to represent an estimate of
convection over the north, northwest, central, southwest, and southeast Amazon
following a similar selection of area to Marengo et al. (2001). OLR was also
averaged for an additional region over the easternmost location of the ITCZ. High-resolution precipitation
data for Central America were obtained from the Climate Hazard Group
InfraRed Precipitation with Station data archive (CHIRPS; Funk et al., 2015). Additional
information used includes evapotranspiration from MODIS (Moderate Resolution
Imaging Spectroradiometer; Mu et al., 2007) for 2000–2010 and the multivariate ENSO index
(MEI; Wolter and Timlin, 1998).</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S3">
  <title>Results and discussion</title>
<sec id="Ch1.S3.SS1">
  <title>Moisture supply and rainfall: behaviour and relevance of Central American precipitation moisture sources</title>
      <p>Durán-Quesada et al. (2010) diagnosed the moisture sources for Central American precipitation based on
ERA-40 and FLEXPART computed trajectories from 2000 to 2004, reporting the Caribbean
Sea as the main moisture source with a secondary contribution from the
southern portion of the ETPac. Due to the short time span analysed, the
authors of this study were unable to reveal any further information either
on the climatology of the evaporative moisture sources linked to regional
precipitation or on regional moisture transport and its variability.</p>
      <p>Despite the Caribbean Sea (CS) being a continuous supply of moisture,
moisture transport presents seasonality featured by the horizontal extent of
the source. The CS extends from the Central American east coast to the
southeastern Caribbean with a consistently strong intensity in terms of
moisture supply between December and May along the Central American eastern
coast (see Fig. 1a and b). The maximum intensity of the CS source shifts to the
east as the Caribbean SST increases (see Fig. 1c). Moisture exports from
the CS reach up to 10 mm day<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> except during
September–October–November (SON), when the maximum supply decreases to 5 mm day. It is noticeable that the
diminishing of the CS as a source during SON is accompanied by a reduction
in the easterly flow (see black vectors in Fig. 1c). During these months,
the Western Hemisphere Warm Pool (WHWP; Wang and Enfield, 2001) develops its
Pacific component, the Caribbean SST falls, and moisture is largely dragged
by the cyclonic systems that develop in the Atlantic–Caribbean. The arrival
of moisture exports from the CS to Central America is limited to long-range
transport and by a reduction in moisture availability. Moisture transport
from the GoM to the region becomes noticeable from late September to
February, even though the contribution is much smaller than that from the
CS. As the relevance of the GoM as a moisture source for the region is
constrained by mid-latitude interactions. This source acquires importance in
association with winter circulation patterns related to cold surges, which
have been found to contribute to the precipitation over Central America
during a relatively dry period (Sáenz and Durán-Quesada, 2015).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Positive (<inline-formula><mml:math id="M19" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M20" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:msup><mml:mo>)</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> seasonal climatology for 1980–2013 (shaded
contours) and 925 hPa winds from ERA-Interim. Coloured areas show the presence
of an evaporative source of moisture linked with precipitation over Central
America. The high intensity of the Caribbean Sea as a source of moisture is
observed all year round while the contributions of the eastern tropical Pacific
and the GoM are strongly seasonally constrained. Wind vectors indicate the
boundary between the oceanic sources of moisture identified for Central America
and the regional low-level jets, CLLJ and CJ.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://esd.copernicus.org/articles/8/147/2017/esd-8-147-2017-f01.png"/>

        </fig>

      <p>Moisture supply from the ETPac starts to develop in late May and reaches a
maximum intensity between August and September (Fig. 1c). The ETPac source
is located in a region characterised by strong evaporation (Amador et al., 2006). Furthermore,
the peak in its annual cycle is coherent with the maximum intensity of the
CJ (Poveda and Mesa, 2000). As the easterly flow decreases and the CJ intensifies, moisture
supply from the ETPac is enhanced (Fig. 1d). This behaviour highlights the
interplay between the CLLJ and the CJ in regional moisture transport. In
addition, the intensity of the deep convection in the ETPac provides a
suitable environment for the release of latent heat and enhanced surface
evaporation. The latter may lead to an increase in moisture availability
related to the ETPac source. Moreover, contributions from the ETPac source
are also forced by large-scale processes including ITCZ movements, shallow
meridional circulation in the region (Zhang et al., 2004), and the
development of deep convection.</p>
      <p>The identification of moisture sources suggests that northern South America
represents a remote supply of moisture for Central American precipitation.
The Orinoco River basin is found to be an evaporative source with an annual
cycle similar to that of the CS. The Magdalena River basin is identified to
play an important role in long-range continental moisture exports to Central
America. In this case, the moisture supply is stronger in June–July–August (JJA).
It is worth noting that the Magdalena and Orinoco river basins are
also the principal moisture sinks in northern South America (Meade, 2007; Poveda et al., 2001). Despite
this, they provide a summertime contribution to Central American rainfall.
The transport of moisture from these remote continental sources is
constrained by regional convective activity and local precipitation.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>Seasonal average of MODIS-estimated evapotranspiration for 2000–2010.
<bold>(a)</bold> DJF, <bold>(b)</bold> MAM, <bold>(c)</bold> JJA and <bold>(d)</bold> SON.
Despite the coarse resolution, it can be seen that evapotranspiration presents
a strong seasonality. Marked contrasts during the months containing the first
peak of the rainy season are observed between the Caribbean and Pacific slopes.
The latter is coherent with known higher precipitation and evaporation rates
over the Caribbean slope compared to the Pacific influence. Locations of the
natural parks is indicated as dots in <bold>(a)</bold> as follows: Patuca National
Park (blue), Bosawás Natural Preserve (red), Río Pátano Biological
Preserve (grey), El Mirador National Park (green), Sierra del Lacandón
National Park (orange), Biosfera Maya Biological Preserve (yellow), Calakmul
Biosphere Preserve (purple) and Montes Azules National park (sky blue).</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://esd.copernicus.org/articles/8/147/2017/esd-8-147-2017-f02.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>Box plots providing information on the annual cycle of moisture
transport from the identified evaporative moisture sources to Central American
precipitation, <bold>(a)</bold> Caribbean Sea, <bold>(b)</bold> ETPac, <bold>(c)</bold> GoM,
<bold>(d)</bold> Central America and <bold>(e)</bold> northern South America (Orinoco
and Magdalena river basins). <bold>(f)</bold> Annual cycle of OLR computed for the
Amazon (green) and easternmost ITCZ (red) regions. The mean is shown as a black
line, and the <inline-formula><mml:math id="M22" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> marks, the narrow black line, and the lower and upper box
limits represent outliers and the 50th, 25th and 75th percentiles respectively. Beyond the
determined annual cycle, a general measure of interannual variability is also
given by the spread. Note that the vertical scale is different for each panel.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://esd.copernicus.org/articles/8/147/2017/esd-8-147-2017-f03.png"/>

        </fig>

      <p><?xmltex \hack{\newpage}?>Central America is itself an evaporative moisture source, as suggested by
the large positive values of (<inline-formula><mml:math id="M23" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M24" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:msup><mml:mo>)</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. The annual cycle is well defined
and northern Central America is the primary destination of the source, the
transport being stronger from December to early June. It is beyond the scope
of this work to quantify the evapotranspiration; however, it is important to
assess the consistency between this variable and the activity of the local
moisture source. By comparing Figs. 1 and 2, it can be seen that the strong
seasonal signal of evapotranspiration from MODIS is coherent with the seasonal
characteristics of the identified supply of moisture from Central America. A
maximum evapotranspiration for the area of Bosawás Natural Preserve
(Nicaragua) Patuca National Park, and Río Plátano Biological
Preserve in Honduras is exhibited for March–April–May (MAM). Other areas
with significant evapotranspiration are El Mirador National Park, Sierra Del
Lacandón National Park, and Biosfera Maya Biological Preserve in
Guatemala, as well as Calakmul Biosphere Preserve and Montes Azules National
Park in Mexico. This finding is in good agreement with the highest positive
value of (<inline-formula><mml:math id="M26" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M27" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:msup><mml:mo>)</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> detected over northern Nicaragua, Honduras and the
Yucatán Peninsula. Because evapotranspiration depends on plants
(Brümmer et al., 2012), the highest values tend to be found in regions with dense vegetation.
Figure 1b indicates that the region becomes a strong moisture supplier during
the first rainy season (MAM), suggesting the regional importance of
surface-precipitation feedback mechanisms. Smaller moisture contributions
from the Pacific slope of Central America are consistent with the known
horizontal precipitation “seesaw” between the Caribbean and Pacific sides of
Central America. However, a more fundamental analysis is required to
establish the link between local moisture supply and evapotranspiration, as
well as to quantify moisture recycling and its direct relationship with rainfall.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Annual cycle of moisture transport to Central American precipitation and the role of the LLJs</title>
      <p>Moisture transport from each identified evaporative moisture source was
computed from the trajectories dataset, transport is reported in sverdrup
units, 1 Sv <inline-formula><mml:math id="M29" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 1 million m<inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>. The annual cycle of moisture
transport from the CS, as shown in Fig. 3a, suggests a relatively constant
moisture supply to Central America that decreases slightly between September
and November, which is a period of intense development of tropical cyclones
over the Atlantic Basin. More detailed analysis allows us to determine that
the overall moisture supply to Central America from the CS shows strong
variations across Central America. In fact, computing the moisture transport
for the Central American countries reveals significant differences in the
annual cycle of moisture transport. Moisture transport from the CS to Belize
and El Salvador is small (0.2 Sv), and nearly constant throughout the year,
due in part to a marginal exposure to the moist air flow. Transport to
Honduras, Guatemala and Nicaragua is consistent with the overall annual
cycle depicted in Fig. 3a. The main difference is that moisture transport
from this source is larger for Nicaragua (up to 1.5 Sv) and is more intense
from October to May compared with transport to Honduras and Guatemala.
Transport from the Caribbean Sea to southernmost Central America shows a
characteristic annual cycle characterised by a more intense moisture supply
in December–January–February (DJF). It is worth noting that in summer the
transport to Costa Rica and Panama decreases, while increasing for Honduras,
Guatemala and Nicaragua at this time. Country estimates of CS moisture
transport reflect the strong dependence it has on the position and intensity
of the CLLJ.</p>
      <p>Moisture supply from the ETPac to Central American precipitation is markedly
bimodal, as shown in Fig. 3b. Even when this source is an order of
magnitude smaller than the Caribbean supply, moisture transport from the
ETPac still peaks during the months that characterise the transition to the
rainy season. The July minimum is coherent with the intensification
(decrease) in the easterly (westerly) flow and partly coincides with the
presence of the MSD over the Pacific slope of Central America. Unlike the
transport from the Caribbean, the bimodal moisture supply pattern is
observed for the whole Central American region. Transport is greater to
Panama, Nicaragua and Costa Rica, with the two last countries showing the
strongest July minimum. The secondary peak of transport to Panama represents
up to double the transport that occurs during May (not shown). The
fingerprint of the transport of moisture from the GoM is also well defined,
with transport increasing during October and continuously decreasing until
it falls to a minimum after May (Fig. 3c). It can be seen that the
interannual variability is relatively small and that extreme values shown as
outliers (marks) are significant, showing much stronger transport. The fact
that moisture supply from the GoM peaks during a period seeing the entry of
mid-latitude systems is highlighted, because this provides information
relevant to the links between mid-latitude interaction and rainfall during
the dry season. It is also worth mentioning that even when moisture supply
is mostly constrained to the northern portion of Central America, Nicaragua
receives approximately 0.10 Sv when the source is active.</p>
      <p>Local contributions are in broad coherence with the first part of the rainy
season in the region (Fig. 3d). In agreement with the seasonal distribution
of evapotranspiration according to MODIS estimates (not shown), Guatemala,
Honduras and Nicaragua receive their largest supply from inland evaporative
sources, suggesting that moisture recycling could follow a similar annual
cycle. This latter view may support the hypothesis of a difference between
the first and second parts of the rainy season, which suggests that the
second part is driven by large-scale dynamics rather than by the local
processes that drive the first part of the rainy season. A rigorous
quantification of moisture recycling in the region is key to assessing the
role of local contributions to precipitation. This is not a simple matter
because vegetation dynamics and temperature are both fundamental parts of
the problem, and intensive changes in land use are well known in the region
(Aide et al., 2013).</p>
      <p>Transport from the remote evaporative source from the Orinoco and Magdalena
river basins peaks in the summer months. It shows a moderate interannual
variability and a strong influence of extremes (Fig. 3e). A more detailed
country-level analysis reveals a slightly different latitudinal supply
regime from this source. While a bimodal annual cycle of moisture supply is
observed for Nicaragua and northern countries with maxima in June and
September, a single summer peak is seen in the moisture contributions to
Costa Rica and Panama. Furthermore, the moisture supply to Panama (max
0.41 Sv) is around twice as high as the transport to Costa Rica (0.19 Sv) and
more intense than for the other countries. Supply from this remote source is
relevant because it may help us to understand how northern South American
processes are connected with Central American rainfall distribution and are
further linked with the Caribbean Sea dynamics. Moisture transport from this
source is constrained by the availability of moisture, which implies that
the supply is dependent on precipitation over the basin and on high
evaporation rates. The marked seasonality of the moisture transport from
this source is in good agreement with the known annual cycle of moisture
sinks in northern South America. In the case of the Mapire River mouth, the
precipitation follows a similar annual cycle to the moisture supply from
northern South America. Precipitation from the Musinacio station, for
example, exhibits a marked peak during June (see Fig. 2 in Dezzeo et al., 2003). At the same
time, the Magdalena Valley experiences a relative minimum of precipitation,
suggesting that in summer evaporation exceeds precipitation in the region,
enhancing the atmospheric moisture. The moist air masses move to the
northwest as a result of the strengthening of the easterly flow.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Positive (<inline-formula><mml:math id="M31" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M32" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:msup><mml:mo>)</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> regressed against the CLLJ index (upper
panel) and the CJ index (lower panel) for August. Only significant values are
shaded and contours are indicated for correlations larger than 0.4. Blue
shading in the upper panel shows a strong negative correlation between the
CLLJ and the ETPac sources but a positive correlation with the Caribbean Sea
source. The lower panel shows the opposite, highlighting a large positive
correlation between the activity of the moisture supply from the ETPac source
and the CJ index.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://esd.copernicus.org/articles/8/147/2017/esd-8-147-2017-f04.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p>Spatial correlation of moisture transport from the identified sources
and CHIRPS rainfall for the 1981–2013 period. Only correlation coefficients
larger than <inline-formula><mml:math id="M34" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.2 and significant at the 90 % level are shown. Months for
which the correlation patterns were more coherent were chosen. Positive
correlation is to be interpret as how the net moisture supply contributes with
rainfall, whereas negative values require a more careful interpretation. Notice
that, for this case, the negative correlation values are more related with the
moisture conveyor mechanism that with rainfall itself. Here negative values
from <bold>(a)</bold> to <bold>(h)</bold> suggest that conditions featured by a reduced
influence of the moisture mechanism is more likely to favour rainfall in the
regions. Panel <bold>(i)</bold> has a different interpretation and relies on the fact
that as moisture is evaporated from the continental region the amount of
available moisture to contribute with rainfall decreases.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://esd.copernicus.org/articles/8/147/2017/esd-8-147-2017-f05.png"/>

        </fig>

      <p>Regression of the evaporative sources against the CLLJ and CJ indices
(Fig. 4a and b) shows the contrasting response of the two main oceanic sources
to these LLJs. As the easterly flow increases, the development of the CLLJ
favours transport from the CS, while transport from the ETPac is largely
inhibited (Fig. 4a). The opposite is observed for the CJ (Fig. 4b). The
strong link between the arrival of moisture from the oceanic sources and the
LLJs shows the importance of these structures to the regional distribution
of precipitation. It is worth noting that the CLLJ not only accounts for the
dragging of moisture from the Caribbean but is also able to modulate
moisture transport from the tropical Atlantic and northern South America
into the mid-latitudes of both hemispheres. Here again, moisture
contributions from northern South America depend on both regional and
large-scale processes. On the one hand, the interplay between the Orinoco
and Magdalena river basins as sinks for Amazon moisture implies a moisture
availability for Central American precipitation constrained by Amazon
convection. Indeed, moisture supply from northern South America increases
with Amazon convection, as suggested by the minimum OLR values for selected
regions over the Amazon (Fig. 3f). Convection over the Amazon enhances
evapotranspiration processes in the region and provides moisture to the
Magdalena and Orinoco basins. Moisture held by the atmosphere is available
to be transported and in the presence of an efficient conveyor (e.g. the
CLLJ) it is then transported to Central America. The intensification of
moisture transport from this source between May and September is in
agreement with the reduction in rainfall for several locations in northern
Colombia (Poveda et al., 2005). Recent studies make this northern South America–Central
America link clear; Arias et al. (2015) showed that La Niña enhances the
moisture transport to northern South America hence decreasing availability
for Central American supply.</p>
      <p>Moisture supply from the ETPac relates to a low CLLJ intensity but also to
the increase in the extent of the Pacific component of the WHWP. Large-scale
convection also plays a role in the modulation of the ETPac moisture
transport, which is inhibited by deep convection such as that related to the
ITCZ. A large negative correlation between the OLR averaged for the
easternmost part of the ITCZ and the ETPac moisture source was found to be
most pronounced in summer–autumn (OLR annual cycle is shown in Fig. 3f). The
identified mechanisms are largely related to the development of
precipitation in the second part of the rainy season. The moisture supply
that may enhance the first part of the rainy season in the region is not
fully understood. The strong link between the distribution of precipitation
and the activity of an evaporative source located over Central America
suggests a relationship with surface conditions. It has been mentioned that
evapotranspiration may play a key role in supplying moisture during the
first part of the rainy season. This connection relates to the issue of
vegetation–precipitation controls. Therefore, the quantification of
evapotranspiration and some knowledge of the vegetation fraction would give
new insights and scientific knowledge of the processes that dominate the
first part of the rainy season at different timescales.</p>
      <p>The interpretation of the relationship between moisture supply and rainfall
over a defined region is often an issue. In this study, we aim to provide
information of the relevance of the moisture supply for regional rainfall.
Once the moisture sources were characterised, the moisture supply from each
source was estimated using a Lagrangian approach. The correlation between
time series of moisture supply and spatial CHIRPS rainfall estimates for the
detected rainy days (90 % significance) was computed; results are
summarised in Fig. 5. Moisture transport from the CS favours rainfall in
northern Central America Caribbean slope early in the year (Fig. 5a). As
observed from Fig. 5b, moisture transport has very little influence for the
first rainy season. We propose that this rainy period is mostly forced by
local processes, with surface fluxes playing a relevant role for the
precipitation initiation (see also Fig. 5i); it can be observed that overall
moisture supply from the continental region decreases during the first rainy
season as very little moisture is available. For midsummer, CS transport
(Fig. 5c) shows a remarkable result, while the CLLJ reaches its maximum
contribution to the Caribbean slope of Costa Rica rainfall increases.
Moreover, as the transport increases, Central American Pacific coast becomes
drier. The area featured by negative correlation values (blue in Fig. 5c) is
clearly identified as the Central American Dry Corridor (CADC). Here we
highlight that fact that the intensification of moisture transport from the
CS and associated mechanisms play a major role in the establishment of the
CADC. In contrast, as the CLLJ retreats (Fig. 5d) in autumn and the CJ is
intensified, rainfall increases aided by the moisture supply from the now
active ETPac source (Fig. 5). The modulation of the Pacific rainfall annual
cycle, and therefore the depth of MSD, results from the interplay between the
regional LLJs and of course its associated dynamics. The effect of the GoM
moisture supply is small, still, its influence might contribute to reduce
the impact of the MSD period rain deficit (Fig. 5e). Transport from
northern South America accounts as mentioned before, mainly for southern
Central America (Fig. 5g). However, its relevance during summer time also
hints to role of its moisture conveyor, the CLLJ, to be key for the
distribution that features the CADC and is shown by the drying linked to the
well-known MSD (Fig. 5h).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>Positive (<inline-formula><mml:math id="M35" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M36" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:msup><mml:mo>)</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> composite differences for warm and
cold ENSO events based on a <inline-formula><mml:math id="M38" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.75 <inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C SST anomaly for the MEI using
the 1981–2010 base line for <bold>(a)</bold> February, <bold>(b)</bold> May and
<bold>(c)</bold> August. Blue colours represent a decrease in the evaporative
source of moisture for warm ENSO, while red colours represent the intensification
of the evaporative moisture source under warm ENSO conditions.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://esd.copernicus.org/articles/8/147/2017/esd-8-147-2017-f06.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS3">
  <title>Response of oceanic moisture sources to ENSO forcing</title>
      <p>The integrated positive net freshwater fluxes were composited for warm and
cold ENSO events at a monthly timescale based on a <inline-formula><mml:math id="M40" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.75 <inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C SST
anomaly using the MEI. The base line period for the
computation of the anomalies was 1981–2010. The results reveal a large
deviation in the position and intensity of the evaporative moisture sources
compared to neutral years. Figure 6 shows the warm–cold ENSO differences for
positive (<inline-formula><mml:math id="M42" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M43" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:msup><mml:mo>)</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> values, suggesting a large variability in the supply
from the oceanic moisture sources. During boreal winter, moisture supply
from the Caribbean decreases, while inland and coastal Pacific (<inline-formula><mml:math id="M45" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M46" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:msup><mml:mo>)</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
values increase slightly (Fig. 6a). The subsequent reduction in Caribbean
moisture transport is attributed to the response of the deceleration of the
CLLJ under warm ENSO conditions in winter time (Amador et al., 2006; Amador, 2008; Maldonado et al., 2015). Stronger differences are
detected as the first rainy season starts, with a greatly reduced
contribution from the southwest Caribbean as shown by the dark blue shading
in Fig. 6b. In contrast, moisture supply from the northern Caribbean is
enhanced for warm ENSO conditions, similar to the evaporative source
observed over Nicaragua and Honduras (red shades in Fig. 6b). Under cold
ENSO conditions, moisture supply from the Caribbean results in a dipole,
from which the inhibition of moisture transport from the southern Caribbean
becomes evident. A small reduction in the positive (<inline-formula><mml:math id="M48" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M49" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:msup><mml:mo>)</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> values over
the northern portion of the Orinoco River basin is also noted. In contrast,
as the CLLJ strengthens and the warm ENSO causes the easterlies to
accelerate, the Caribbean Sea moisture source is reinforced. The red shading
in Fig. 6c over the Caribbean (and northern Colombia) suggests that a warm
ENSO favours the intensification of moisture supply from this source, aided
by the strengthening of the CLLJ. The increase in moisture transport from
this source under El Niño conditions is consistent with the known
surplus of precipitation on the Caribbean slope of Central America for a
warm ENSO (Fig. 11 of Amador, 2008). The composite differences also show good agreement
with the proposed moisture conveyor mechanisms as the ETPac supply is
reduced for warm ENSO in coherence with the weakening of the
southwesterlies over the Pacific.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><caption><p>Correlation coefficients between moisture supply from the
<bold>(a)</bold> Caribbean Sea and <bold>(b)</bold> the eastern tropical Pacific to
precipitation in Central American countries and the MEI index. Only significant
correlations are depicted; colour and circle size are proportional to correlation
between <inline-formula><mml:math id="M51" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1 and 1. Blue (red) indicates negative (positive) correlations.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://esd.copernicus.org/articles/8/147/2017/esd-8-147-2017-f07.png"/>

        </fig>

      <p>As a complementary analysis, the moisture supply from the evaporative
sources was computed and the correlation between the moisture transport and
the MEI was estimated. Results for the Caribbean and ETPac sources are shown
in Fig. 7. The strongest response to ENSO is observed for moisture
contributions from the Caribbean Sea (Fig. 7a) with a contrasting
correlation pattern compared to the response of the ETPac moisture supply
(Fig. 7b). In general, Central America experiences an increase (decrease)
in moisture contributions from the Caribbean for warm (cold) ENSO during the
transition to the first part of the rainy season. The summer response to
ENSO is homogeneous for the Central American region. In contrast, the winter
and spring response is heterogeneous, and the regional response becomes more
consistent during the transition to the first part of the rainy season. For
this period, the moisture supply exhibits a negative correlation, suggesting
that the warm ENSO is linked with a reduction in moisture transport derived
from a weakened moisture source in the central Caribbean (Fig. 6b). This
finding is in good agreement with Maldonado and Alfaro (2012), who highlighted the
intensification of dry conditions under warm ENSO. It is clear that the
response of the moisture supply to ENSO is largely influenced by its effect
on the CLLJ and the mean easterly flow, as shown by their identical ENSO
response. However, it is important to note that moisture supply from the
Caribbean is not driven by transport alone. In particular, under ENSO
conditions energy fluxes become important over the Caribbean as a result of
SST anomalies and advection of moisture to the atmosphere. Chikamoto and Tanimoto (2005) showed that
specific humidity differences between the air and sea interfaces are related
to asymmetric latent heat flux anomalies linked to ENSO activity. These
authors also found that near-surface specific humidity anomalies dominate
the difference in the air–sea humidity anomaly. Because the boundary layer
humidity gradient depends on effective evaporation, it can be argued that
both the boundary layer depth and the humidity are fundamental to the role
of the Caribbean Sea as an evaporative moisture source (A. M. Durán-Quesada,
personal communication, 2016). As a result of its intensification the CLLJ
becomes not only a moisture conveyor structure but also a mechanism able to
enhance evaporation by drag, increase the humidity gradient, and also
generate surface cooling (Amador, 2008). The CLLJ response to ENSO therefore plays an even
bigger role in the modulation of the moisture supply from the Caribbean. Its
intensification under warm ENSO increases the moisture transport but also
contributes to the increase in atmospheric moisture availability and
atmospheric instability, especially in the central Caribbean.</p>
      <p>From Fig. 7a, it is observed that a warm ENSO favours the intensification
of a moisture source to the west of the Central American coast during the
winter months. Compared with the climatological moisture supply from the
ETPac, this winter contribution intensified by warm ENSO conditions has a
different origin. The positive response of the ETPac moisture supply to a
warm ENSO during winter (Fig. 7b) is not completely clear, however. A
southward displacement of a weaker winter ITCZ, caused by changes in the
tropical energy flux (Schneider et al., 2014), facilitates moisture transport by enhanced
westerlies over the Pacific for warm ENSO. However, the location of the
moisture source suggests that the origin of this moisture supply is not
fully driven by the motion of the ITCZ. The increase in the contributions
for warm ENSO is proposed to be linked to the effect of rain-producing
systems. These systems can be associated with the penetration of cold
surges, known to increase during El Niño events (Magaña et al., 2003)
and to modify the regional distribution of precipitation
(Sáenz and Durán-Quesada, 2015). During summer, the negative correlation between the moisture supply from
the ETPac and the ENSO can be explained by an enhanced deep convection
linked to the ITCZ for cold ENSO events as revealed by OLR composites (not shown).</p>
</sec>
<sec id="Ch1.S3.SS4">
  <title>Trends in moisture supply from evaporative sources</title>
      <p>Central America is often referred to as a climate change hotspot, based on
climate projections (Giorgi, 2006; Neelin et al., 2006; Rauscher et al., 2008, 2011; Diffenbaugh and Giogi, 2012; Imbach et al., 2015;
Nakaewaga et al., 2014; Hidalgo et al., 2013). As most of those studies
rely on modelling and projections approaches, here we aim to better
understand how short-term trends relate with natural variability at
different timescales. Temperature trends are consistent across many
studies; precipitation trends have failed to show any sound significance. An
example is given in the observational study of Aguilar et al. (2005), which shows a marked
significant temperature trend and highlights the non-significance of any
precipitation trends. Understanding trends in the hydrological cycle for the
region is an important milestone in providing a solid basis for water
management policies in the context of resources availability affected by the
intensive exploitation of surface water reservoirs (Arias and Calvo-Alvarado, 2012). Considering the
sensitivity of the region to extreme hydrometeorological events, it is
imperative to identify any consistent significant trends towards drier or
wetter conditions in order to support water resource management and
mitigation and adaptation policies. Short-term trends were detected for
moisture supply to Central American precipitation using a modified
Mann–Kendall test. The evaluation of these trends was carried out for the
countries of interest in order to check for consistency with reported
differences in north–south trends.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p>Long-term trends for moisture supply from the evaporative sources
<bold>(a)</bold> Caribbean Sea, <bold>(b)</bold> eastern tropical Pacific,
<bold>(c)</bold> GoM, and <bold>(d)</bold> northern South America. Note that the
evaporative source located over Central America was not considered for this
part of the analysis as we have no further details of the observed
evapotranspiration trends at this stage in our research. Negative (positive)
values represent decreasing (increasing) trends; only those with statistical
significance at the 90 % level were plotted. Dot size is proportional to
trend magnitude.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://esd.copernicus.org/articles/8/147/2017/esd-8-147-2017-f08.png"/>

        </fig>

      <p>The strongest trends were detected for oceanic evaporative sources of
moisture. A strong seasonal difference was identified for the Caribbean Sea
source (Fig. 8a), while a consistent trend was reported for the ETPac
source. Moisture supply from the CS was found to increase (decrease) by up
to 10 <inline-formula><mml:math id="M52" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> Sv yr<inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> during March (October). An increasing trend in
moisture supply was found during transition months, with values of
1 <inline-formula><mml:math id="M55" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M56" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> Sv yr<inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for southern Central America, and 8 <inline-formula><mml:math id="M58" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M59" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> Sv yr<inline-formula><mml:math id="M60" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
for Nicaragua and Honduras. According to the model results for October,
Honduras and Guatemala have been experiencing a decrease in moisture
contributions from the Caribbean Sea, with trends of <inline-formula><mml:math id="M61" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>7 <inline-formula><mml:math id="M62" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M63" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and
<inline-formula><mml:math id="M64" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10 <inline-formula><mml:math id="M65" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M66" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> Sv yr<inline-formula><mml:math id="M67" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, respectively. In contrast, during late autumn Panama
shows an increasing trend of 4 <inline-formula><mml:math id="M68" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M69" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> Sv yr<inline-formula><mml:math id="M70" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The results reveal an
opposite response during the two rainy seasons for the trends in Honduras.
This suggests a trend to wetter (drier) for the first (second) part of the
rainy season. The results also show a strong drying trend for northern
Central America in the last decade. From this perspective, a more detailed
analysis of low-frequency variability is needed.</p>
      <p>The ETPac has become a more active moisture supply over the last three
decades. A marked increasing trend up to 10 <inline-formula><mml:math id="M71" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M72" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> Sv yr<inline-formula><mml:math id="M73" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for
southernmost Central America is observed for summer and autumn (Fig. 8b).
The strongest trends for moisture supply to precipitation were detected for
Panama. Because contributions from the ETPac are reportedly on the increase,
this result may imply an intensification for the second part of the rainy
season in this area. Moreover, because the summer months were identified as
seeing the minimum moisture supply (probably associated with the MSD), if
the increasing trend in ETPac moisture contributions continues this could
imply that midsummer dry conditions will become milder in future, in
contrast to the findings of Rauscher et al. (2011). The reduction in
moisture supply from the Caribbean to Guatemala and Honduras (blue circles
in Fig. 8b) along with the intensification of moisture transport from the
ETPac (red and magenta circles in Fig. 8b) during the second part of the
rainy season is highlighted. According to these results, it can be argued
that the moisture supply is contributing to the enlargement of the
north–south rainfall seesaw in Central America. The detected trend also
shows some similarity to the results for future climate based on IPCC
models. Future climate projections suggest the drying of northern Central
America, in contrast with wetter conditions for southern Central America
under ENSO scenarios (e.g. Steinhoff et al., 2015). Still, at this stage, we are not able to
differentiate which part of these trends are a response to natural
variability and which to climate change.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p>Long-term significant CHIRPS precipitation trends for <bold>(a)</bold> August
and <bold>(b)</bold> November. Sen's slope is shown by the shading in units of
millimetres per month every year. Even where significant trends were identified, these
trends can be considered very small in comparison to the order of magnitude
of monthly climatological values for those regions, which exceed 400 mm month<inline-formula><mml:math id="M74" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.
The available data are not sufficient to explore the connection between long-term
changes in moisture supply and detected rainfall trends.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://esd.copernicus.org/articles/8/147/2017/esd-8-147-2017-f09.png"/>

        </fig>

      <p>Moisture transport from the GoM also exhibits an increasing trend in
October. In this case, the strongest increasing trend in moisture supply was
found for Guatemala (Fig. 9c). Moisture contributions from northern South
America reveal an overall negative trend (Fig. 8d). Based on these results,
Panama is the country most affected by the reduction in moisture supply from
this source (up to <inline-formula><mml:math id="M75" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>6 <inline-formula><mml:math id="M76" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M77" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> Sv yr<inline-formula><mml:math id="M78" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>). The detected reduction in the
moisture supply accords with a decrease in the moisture availability due to
the observed intensification of the hydrological cycle over the Amazon, as
reported by Gloor et al. (2013). From rain gauge data, Carmona and Poveda (2015) reported an increase in rainfall in the
Colombian Pacific and associated river discharges. They proposed the
“rich-get-richer” mechanism as an explanation for this, in that the
increasing rainfall trends detected here might be accompanied by a reduction
in moisture availability for Central American transport. This shows some
consistency with the decreasing trend in moisture supply from northern South
America (Fig. 8d).</p>
      <p>As previously mentioned, regardless of the fact that positive temperature
trends have been detected, the results for precipitation trends lack
significance. One of the main constraints in identifying trends in
precipitation is the scarcity of long-term records. To determine whether
moisture supply trends can be connected with significant precipitation
trends, we used the CHIRPS dataset as a first attempt. CHIRPS precipitation
trends were computed, and the significance of the detected trends was based
on the rejection of the null hypothesis criteria under a Mann–Kendall test.
The results shown in Fig. 9 show the value of the Sen's slope only where
significance was reached at 90 % level. Significant precipitation trends
for the period 1981–2012, based on CHIRPS data, were detected mostly for the
Caribbean slope of Central America. A decrease in precipitation greater than
6 mm month<inline-formula><mml:math id="M79" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> per year during the summer months was found, affecting eastern
Nicaragua, Honduras and northern Costa Rica (green and blue contours in
Fig. 9a). Positive trends of the same order of magnitude were detected during
November for the Caribbean coast of Costa Rica and some regions of Panama
(red and pink shading in Fig. 9b). Regardless of the significance of these
trends, the values are in some cases negligible compared to the monthly
accumulates for the region (greater than 400 mm). There is thus no
conclusive evidence to establish formal links between moisture supply and
precipitation trends. In light of recent records we suggest that large-scale
transport processes cannot explain changes in rainfall and that
shorter-scale processes such as deep convection and transients must be taken
into account in order to explain trends in precipitation. For instance, it
is important to know the extent to which extreme events are changing over
extended time periods. One other important aspect to consider is how the
detected negative trend in moisture supply from the Caribbean to northern
Central America is related to ENSO frequency.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Summary</title>
      <p>Based on a dataset of global trajectories, it has been possible to identify
moisture sources for Central American precipitation over the long term. As a
contribution to an earlier analysis (Durán-Quesada et al., 2010), the
present study allowed the generation of a long-term climatology of moisture
sources for the region. The role of the Caribbean Sea as the main moisture
supply is highlighted, and is in agreement with previous studies. Despite
the fact that moisture contributions from the ETPac were confirmed to be
relatively small compared to moisture exports from the Caribbean, it was
determined that the seasonality of this source is a key driver of the annual
cycle of precipitation. The strong link between the local excess of
evaporation over precipitation, together with satellite estimates of
evapotranspiration, suggests that intense moisture recycling is crucial in
enhancing the first part of the rainy season. However, a detailed
quantification of moisture recycling is needed to provide further evidence
of the local moisture feedback. Moreover, it is important to determine the
role of moisture recycling in the connection between precipitation and
vegetation. This will motivate future studies of precipitation–vegetation
coupling during the first part of the rainy season in the region, which
could provide information on how vegetation cover and land use may have a
deep impact on long-term precipitation trends.</p>
      <p>The approach used here was found to be very useful for distinguishing the
spatial scale of moisture transport, as well as for assessing the oceanic or
continental origin of the moisture linked to Central American precipitation.
The quantification of the moisture supply from the identified sources
supports the explanation of the regional distribution of precipitation as
forced by different process scales. It was determined that the first part of
the rainy season is driven at a strongly local scale, while the second part
of the rainy season is primarily driven by large-scale processes. The role
of the regional low-level jets as moisture conveyors is remarkable, as is
their influence on enhanced surface evaporation (see, e.g., Mapes et al., 2003
and Muñoz et al., 2016). From this perspective, we suggest the need to
improve our understanding of the impact of regional low-level jets in
modulating moisture advection within the boundary layer, as well as the impact of
this on heat flux transfer.</p>
      <p>The results from this study of the moisture supply from northern South
America point to the Magdalena and Orinoco river basins as relevant moisture
sources for the summer months. The analysis of OLR suggests a 2-month lag
between deep convection over the north, northwest and central Amazon, and the
moisture supply from northern South America. Whether Amazon convection plays
a role in moisture transport through its connection with the Orinoco and
Magdalena basins or by means of another mechanism is not clear. Regardless,
the OLR patterns do not appear to provide sufficient evidence of a
connecting bridge between Central American weather and climate and Amazon
convection related to meridional circulation.</p>
      <p>Shown results continuously remark the importance of the regional LLJs and the
interbasin feedback to make the regional precipitation distribution that
unique. Being that rainfall is perhaps the most misrepresented parameter in the
models, pursuing the understanding of the CLLJ and CJ origin is fundamental
for model improvement in the area. It is suggested that the CLLJ–CJ bridge
should be analysed from the large-scale perspective, that is, evaluate how
the ITCZ dynamics can provide information on the interaction of these two structures.</p>
      <p>The influence of ENSO in the region must be considered carefully, despite
its relatively small size, because variables such as precipitation are very
complex and involve many different scales. From a broad perspective, the
sources of moisture show an opposite response to warm and cold ENSO events,
and the intensity of this response is sensitive to the location and origin
of moisture. Oceanic sources show a larger response to ENSO compared to the
continental moisture sourced identified. Positive correlations were detected
between the Niño 34 index and moisture transport from the Caribbean (ETPac)
during summer (winter) months. It is worth noting that a negative
link was found for the Caribbean Sea transport during the spring months,
while a similar response was detected during August for transport from the
ETPac. The increase in summer moisture transport from the GoM to
southernmost Central America was detected during warm ENSO events. ENSO
forcing of continental moisture transport to Central American precipitation
is mostly positive. Local contributions show a strong winter response, while
for the case of northern South American transport, this relationship is
mostly significant during January and February (June to August) for
Nicaragua and Costa Rica (Costa Rica and Panama). It might be expected that
the horizontal precipitation seesaw is reinforced, depending on the ENSO phase.</p>
      <p>A long-term trend analysis for the moisture supply to Central American
countries shows that moisture transport from the Caribbean Sea to Nicaragua
and Honduras (Honduras and Guatemala) intensifies (decreases) during March
(October) by 7 <inline-formula><mml:math id="M80" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> Sv yr<inline-formula><mml:math id="M82" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Results for the ETPac moisture source
suggest an increase in moisture transport, mostly to southern Central
America, during summer and early autumn. Significant trends of up to
10 <inline-formula><mml:math id="M83" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M84" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> Sv yr<inline-formula><mml:math id="M85" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> were found for transport from this source to Panama. This
result may have important implications in that it can be linked with an
intensification of the Chocó Jet and further changes in the latitudinal
position of the ITCZ. It was also determined that moisture transport from
the Gulf of Mexico to Guatemala increases during October. It is suggested
that this increase may be related to a higher frequency of cold surge
activity within the GoM and a deceleration of the trade winds. It was also
determined that moisture transport from northern South America to the region
is decreasing, in good agreement with the reported intensification in
precipitation over the Amazon Basin.</p>
</sec>
<sec id="Ch1.S5">
  <title>Data availability</title>
      <p>The full dataset of global trajectories belongs to the UCR-UVigo cooperation research
programme and is not publicly accessible at the moment, and it also requires
extremely high storage capacity. However, subsets of data such as the Central American trajectories
subset used in this study can be provided for research purposes upon request.
Enquiries should be sent to ana.duranquesada@ucr.ac.cr.</p>
</sec>

      
      </body>
    <back><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p>This research was supported by UCR projects VI805B3600 and VI805B5295 in
cooperation with EphysLab (UVigo). Partial funding was also provided by
local grants UCR-VI-805-B0-065, A8-606, B0-130, A9-224, A7-002,
805-B6-143 and 808-A9-180. Support from student E. Rodríguez (UCR) is
acknowledged. Global FLEXPART simulations were computed and processed in the
Tsaheva cluster from CIGEFI HPC facilities. The authors thank E. Alfaro (UCR)
and H. Hidalgo (UCR) for discussions on the preliminary version of the
manuscript as well as O. García (UVigo) for data retrieval support. <?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: S. M. Vicente Serrano <?xmltex \hack{\newline}?>
Reviewed by: three anonymous referees</p></ack><ref-list>
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    <!--<article-title-html>Role of moisture transport for Central American precipitation</article-title-html>
<abstract-html><p class="p">A climatology of moisture sources linked with Central
American precipitation was computed based upon Lagrangian trajectories for
the analysis period 1980–2013. The response of the annual cycle of
precipitation in terms of moisture supply from the sources was analysed.
Regional precipitation patterns are mostly driven by moisture transport from
the Caribbean Sea (CS). Moisture supply from the eastern tropical Pacific (ETPac)
and northern South America (NSA) exhibits a strong seasonal pattern
but weaker compared to CS. The regional distribution of rainfall is largely
influenced by a local signal associated with surface fluxes during the first
part of the rainy season, whereas large-scale dynamics forces rainfall
during the second part of the rainy season. The Caribbean Low Level Jet (CLLJ)
and the Chocó Jet (CJ) are the main conveyors of regional
moisture, being key to define the seasonality of large-scale forced
rainfall. Therefore, interannual variability of rainfall is highly dependent
of the regional LLJs to the atmospheric variability modes. The El
Niño–Southern Oscillation (ENSO) was found to be the dominant mode
affecting moisture supply for Central American precipitation via the
modulation of regional phenomena. Evaporative sources show opposite anomaly
patterns during warm and cold ENSO phases, as a result of the strengthening
and weakening, respectively, of the CLLJ during the summer months. Trends in
both moisture supply and precipitation over the last three decades were
computed, results suggest that precipitation trends are not homogeneous for
Central America. Trends in moisture supply from the sources identified show
a marked north–south seesaw, with an increasing supply from the CS
Sea to northern Central America. Long-term trends in moisture supply are
larger for the transition months (March and October). This might have
important implications given that any changes in the conditions seen during
the transition to the rainy season may induce stronger precipitation trends.</p></abstract-html>
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