Articles | Volume 7, issue 1
https://doi.org/10.5194/esd-7-251-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-7-251-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Observationally based analysis of land–atmosphere coupling
Italian National Agency for New Technologies, Energy and
Sustainable Economic Development (ENEA), Rome, Italy
Andrea Alessandri
Italian National Agency for New Technologies, Energy and
Sustainable Economic Development (ENEA), Rome, Italy
Matteo De Felice
Italian National Agency for New Technologies, Energy and
Sustainable Economic Development (ENEA), Rome, Italy
Zaichun Zhu
State Key Laboratory of Remote Sensing Science, Institute
of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing,
China
Center for Applications of Spatial Information
Technologies in Public Health, Beijing, China
Ranga B. Myneni
Department of Earth and Environment, Boston University,
Boston, MA, USA
Viewed
Total article views: 3,297 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Oct 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,956 | 1,183 | 158 | 3,297 | 143 | 158 |
- HTML: 1,956
- PDF: 1,183
- XML: 158
- Total: 3,297
- BibTeX: 143
- EndNote: 158
Total article views: 2,709 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Mar 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,659 | 905 | 145 | 2,709 | 131 | 146 |
- HTML: 1,659
- PDF: 905
- XML: 145
- Total: 2,709
- BibTeX: 131
- EndNote: 146
Total article views: 588 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Oct 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
297 | 278 | 13 | 588 | 12 | 12 |
- HTML: 297
- PDF: 278
- XML: 13
- Total: 588
- BibTeX: 12
- EndNote: 12
Cited
12 citations as recorded by crossref.
- Land surface albedo and vegetation feedbacks enhanced the millennium drought in south-east Australia J. Evans et al. 10.5194/hess-21-409-2017
- A Time-Varying Causality Formalism Based on the Liang–Kleeman Information Flow for Analyzing Directed Interactions in Nonstationary Climate Systems D. Tawia Hagan et al. 10.1175/JCLI-D-18-0881.1
- Observed land surface feedbacks on the Australian monsoon system Y. Yu & M. Notaro 10.1007/s00382-020-05154-0
- Global Surface Soil Moisture Dynamics in 1979–2016 Observed from ESA CCI SM Dataset N. Pan et al. 10.3390/w11050883
- Comparing Multiple Precipitation Products against In-Situ Observations over Different Climate Regions of Pakistan W. Ullah et al. 10.3390/rs11060628
- The spatiotemporal variations of soil water content and soil temperature and the influences of precipitation and air temperature at the daily, monthly, and annual timescales in China X. Chen et al. 10.1007/s00704-020-03092-9
- ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions W. Dorigo et al. 10.1016/j.rse.2017.07.001
- Soil moisture-constrained East Asian Monsoon meridional patterns over China from observations W. Ullah et al. 10.1038/s41612-023-00331-4
- Soil Moisture‐Temperature Coupling in a Set of Land Surface Models A. Gevaert et al. 10.1002/2017JD027346
- Elucidating observed land surface feedbacks across sub-Saharan Africa M. Notaro et al. 10.1007/s00382-019-04730-3
- Diagnosing Potential Impacts of Tibetan Plateau Spring Soil Moisture Anomalies on Summer Precipitation and Floods in the Yangtze River Basin C. Zhu et al. 10.1029/2022JD037671
- Comparisons of Diurnal Variations of Land Surface Temperatures from Numerical Weather Prediction Analyses, Infrared Satellite Estimates and In Situ Measurements X. Wang & C. Prigent 10.3390/rs12030583
11 citations as recorded by crossref.
- Land surface albedo and vegetation feedbacks enhanced the millennium drought in south-east Australia J. Evans et al. 10.5194/hess-21-409-2017
- A Time-Varying Causality Formalism Based on the Liang–Kleeman Information Flow for Analyzing Directed Interactions in Nonstationary Climate Systems D. Tawia Hagan et al. 10.1175/JCLI-D-18-0881.1
- Observed land surface feedbacks on the Australian monsoon system Y. Yu & M. Notaro 10.1007/s00382-020-05154-0
- Global Surface Soil Moisture Dynamics in 1979–2016 Observed from ESA CCI SM Dataset N. Pan et al. 10.3390/w11050883
- Comparing Multiple Precipitation Products against In-Situ Observations over Different Climate Regions of Pakistan W. Ullah et al. 10.3390/rs11060628
- The spatiotemporal variations of soil water content and soil temperature and the influences of precipitation and air temperature at the daily, monthly, and annual timescales in China X. Chen et al. 10.1007/s00704-020-03092-9
- ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions W. Dorigo et al. 10.1016/j.rse.2017.07.001
- Soil moisture-constrained East Asian Monsoon meridional patterns over China from observations W. Ullah et al. 10.1038/s41612-023-00331-4
- Soil Moisture‐Temperature Coupling in a Set of Land Surface Models A. Gevaert et al. 10.1002/2017JD027346
- Elucidating observed land surface feedbacks across sub-Saharan Africa M. Notaro et al. 10.1007/s00382-019-04730-3
- Diagnosing Potential Impacts of Tibetan Plateau Spring Soil Moisture Anomalies on Summer Precipitation and Floods in the Yangtze River Basin C. Zhu et al. 10.1029/2022JD037671
Saved (final revised paper)
Saved (preprint)
Latest update: 23 Nov 2024
Short summary
A generalized linear method specifically designed to assess the reciprocal forcing between climate fields is applied to the latest available observational global data sets of precipitation, evapotranspiration, vegetation and soil moisture. The analysis evidences a robust coupling between soil moisture and precipitation and strong links with volcanic eruptions and El Niño cycles, mediated by the feedbacks of evapotranspiration and vegetation.
A generalized linear method specifically designed to assess the reciprocal forcing between...
Altmetrics
Final-revised paper
Preprint