Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6329-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-6329-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Comparing soil moisture anomalies from multiple independent sources over different regions across the globe
Carmelo Cammalleri
CORRESPONDING AUTHOR
European Commission, Joint Research Centre (JRC), Ispra, Italy
Jürgen V. Vogt
European Commission, Joint Research Centre (JRC), Ispra, Italy
Bernard Bisselink
European Commission, Joint Research Centre (JRC), Ispra, Italy
Ad de Roo
European Commission, Joint Research Centre (JRC), Ispra, Italy
Viewed
Total article views: 5,126 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 May 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
3,189 | 1,802 | 135 | 5,126 | 105 | 103 |
- HTML: 3,189
- PDF: 1,802
- XML: 135
- Total: 5,126
- BibTeX: 105
- EndNote: 103
Total article views: 3,608 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Dec 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,356 | 1,138 | 114 | 3,608 | 91 | 78 |
- HTML: 2,356
- PDF: 1,138
- XML: 114
- Total: 3,608
- BibTeX: 91
- EndNote: 78
Total article views: 1,518 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 May 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
833 | 664 | 21 | 1,518 | 14 | 25 |
- HTML: 833
- PDF: 664
- XML: 21
- Total: 1,518
- BibTeX: 14
- EndNote: 25
Viewed (geographical distribution)
Total article views: 5,126 (including HTML, PDF, and XML)
Thereof 4,880 with geography defined
and 246 with unknown origin.
Total article views: 3,608 (including HTML, PDF, and XML)
Thereof 3,422 with geography defined
and 186 with unknown origin.
Total article views: 1,518 (including HTML, PDF, and XML)
Thereof 1,458 with geography defined
and 60 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
42 citations as recorded by crossref.
- Evaluating simulated daily discharge for operational hydrological drought monitoring in the Global Drought Observatory (GDO) C. Cammalleri et al. 10.1080/02626667.2020.1747623
- Exploring the joint probability of precipitation and soil moisture over Europe using copulas C. Cammalleri et al. 10.5194/hess-28-103-2024
- Microwave remote sensing for agricultural drought monitoring: Recent developments and challenges M. Vreugdenhil et al. 10.3389/frwa.2022.1045451
- Earth Observation for agricultural drought monitoring in the Pannonian Basin (southeastern Europe): current state and future directions L. Crocetti et al. 10.1007/s10113-020-01710-w
- Emerging trends and spatial shifts of drought potential across global river basins J. Xiong et al. 10.1016/j.jenvman.2024.120093
- Spatio-temporal soil drying in southeastern South America: the importance of effective sampling frequency and observational errors on drydown time scale estimates R. Ruscica et al. 10.1080/01431161.2020.1767825
- Modeling the spatial distribution of soil physical properties in a semiarid tropical region J. Inácio Silva et al. 10.1016/j.catena.2024.108311
- Optimizing the Vegetation Health Index for Agricultural Drought Monitoring: Evaluation and Application in the Yellow River Basin Q. Hang et al. 10.3390/rs16234507
- Deep Learning With Noisy Labels for Spatiotemporal Drought Detection J. Cortés-Andrés et al. 10.1109/TGRS.2024.3504340
- Analysis of the spatio-temporal variability of soil water dynamics in an arid catchment in South Africa A. Mengistu et al. 10.1016/j.geodrs.2021.e00395
- Location-Aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting M. Shams Eddin et al. 10.1109/TGRS.2023.3285401
- Spatiotemporal distribution of groundwater drought using GRACE-based satellite estimates: a case study of Lower Gangetic Basin, India S. Nandi & S. Biswas 10.1007/s10661-024-12309-7
- Assessing the performance of satellite soil moisture on agricultural drought monitoring in the North China Plain M. Cao et al. 10.1016/j.agwat.2021.107450
- Drought hotspot analysis and risk assessment using probabilistic drought monitoring and severity–duration–frequency analysis A. Samantaray et al. 10.1002/hyp.13337
- Impact of Soil Moisture Data Characteristics on the Sensitivity to Crop Yields Under Drought and Excess Moisture Conditions C. Champagne et al. 10.3390/rs11040372
- Error characterization of global land evapotranspiration products: Collocation-based approach C. Li et al. 10.1016/j.jhydrol.2022.128102
- Remote sensing and global databases for soil moisture estimation at different depths in the Pernambuco state, Northeast Brazil M. Jucá & A. Ribeiro Neto 10.1590/2318-0331.272220220016
- Inter-comparison of satellite-retrieved and Global Land Data Assimilation System-simulated soil moisture datasets for global drought analysis Y. Liu et al. 10.1016/j.rse.2018.10.026
- Towards improved knowledge about water-related extremes based on news media information captured using artificial intelligence J. Pita Costa et al. 10.1016/j.ijdrr.2023.104172
- Trends and Extremes of Drought Episodes in Vietnam Sub-Regions during 1980–2017 at Different Timescales M. Stojanovic et al. 10.3390/w12030813
- Soil moisture evaluation over the Argentine Pampas using models, satellite estimations and in-situ measurements P. Spennemann et al. 10.1016/j.ejrh.2020.100723
- Spatio-temporal dynamic evaluation of agricultural drought based on a three-dimensional identification method in Northwest China K. Feng et al. 10.1016/j.agwat.2023.108325
- Assessment of observed changes in drought characteristics and recent vegetation dynamics over arid and semiarid areas in Sudan M. Alriah et al. 10.1007/s00704-023-04824-3
- Reconstruction of ESA CCI satellite-derived soil moisture using an artificial neural network technology L. Zhang et al. 10.1016/j.scitotenv.2021.146602
- Precipitation and Soil Moisture Spatio-Temporal Variability and Extremes over Vietnam (1981–2019): Understanding Their Links to Rice Yield L. Bui et al. 10.3390/s22051906
- Quantifying drought response sensitivity and spatial and temporal heterogeneity of vegetation in arid and semi-arid regions J. Zhang et al. 10.1080/01431161.2023.2182651
- Effects of climate on the distribution and conservation of commonly observed European earthworms R. Zeiss et al. 10.1111/cobi.14187
- Retrieval of Surface Soil Moisture over Wheat Fields during Growing Season Using C-Band Polarimetric SAR Data K. Goïta et al. 10.3390/rs15204925
- On the ability to study regional hydrometeorological changes using GPS and GRACE measurements A. Lenczuk et al. 10.1186/s40645-024-00665-4
- Evaluation of Soil Moisture Climatology and Anomaly Components Derived From ERA5-Land and GLDAS-2.1 in China Z. Wu et al. 10.1007/s11269-020-02743-w
- Validation of SMOS, SMAP, and ESA CCI Soil Moisture Over a Humid Region X. Xu & S. Frey 10.1109/JSTARS.2021.3122068
- Advancements in earth observation for water resources monitoring and management in Africa: A comprehensive review T. Dube et al. 10.1016/j.jhydrol.2023.129738
- Assessing the Environmental Performances of Nature-Based Solutions Implementation in Urban Environments through Visible and Near-Infrared Spectroscopy: A Combined Approach of Proximal and Remote Sensing for Monitoring and Evaluation G. Bonifazi et al. 10.3390/su152216076
- Agricultural Drought Trends on the Iberian Peninsula: An Analysis Using Modeled and Reanalysis Soil Moisture Products L. Almendra-Martín et al. 10.3390/atmos12020236
- Exploring the use of satellite observations of soil moisture, solar-induced chlorophyll fluorescence and vegetation optical depth to monitor droughts across India M. Likith et al. 10.1007/s12040-022-01848-7
- Evaluating a multi-step collocation approach for an ensemble climatological dataset of actual evapotranspiration over Italy C. Cammalleri et al. 10.1016/j.jhydrol.2024.132209
- Wildfire Danger Prediction and Understanding With Deep Learning S. Kondylatos et al. 10.1029/2022GL099368
- Characterization of the seasonal variation of soil moisture in Argentina M. Fernández‐Long et al. 10.1002/joc.6705
- Evaluation of a combined drought indicator against crop yield estimations and simulations over the Argentine Humid Pampas S. C. et al. 10.1007/s00704-024-05073-8
- Surface Freshwater Limitation Explains Worst Rice Production Anomaly in India in 2002 M. Zampieri et al. 10.3390/rs10020244
- Divergent Response of Vegetation Growth to Soil Water Availability in Dry and Wet Periods Over Central Asia W. Zhang et al. 10.1029/2020JG005912
- 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
39 citations as recorded by crossref.
- Evaluating simulated daily discharge for operational hydrological drought monitoring in the Global Drought Observatory (GDO) C. Cammalleri et al. 10.1080/02626667.2020.1747623
- Exploring the joint probability of precipitation and soil moisture over Europe using copulas C. Cammalleri et al. 10.5194/hess-28-103-2024
- Microwave remote sensing for agricultural drought monitoring: Recent developments and challenges M. Vreugdenhil et al. 10.3389/frwa.2022.1045451
- Earth Observation for agricultural drought monitoring in the Pannonian Basin (southeastern Europe): current state and future directions L. Crocetti et al. 10.1007/s10113-020-01710-w
- Emerging trends and spatial shifts of drought potential across global river basins J. Xiong et al. 10.1016/j.jenvman.2024.120093
- Spatio-temporal soil drying in southeastern South America: the importance of effective sampling frequency and observational errors on drydown time scale estimates R. Ruscica et al. 10.1080/01431161.2020.1767825
- Modeling the spatial distribution of soil physical properties in a semiarid tropical region J. Inácio Silva et al. 10.1016/j.catena.2024.108311
- Optimizing the Vegetation Health Index for Agricultural Drought Monitoring: Evaluation and Application in the Yellow River Basin Q. Hang et al. 10.3390/rs16234507
- Deep Learning With Noisy Labels for Spatiotemporal Drought Detection J. Cortés-Andrés et al. 10.1109/TGRS.2024.3504340
- Analysis of the spatio-temporal variability of soil water dynamics in an arid catchment in South Africa A. Mengistu et al. 10.1016/j.geodrs.2021.e00395
- Location-Aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting M. Shams Eddin et al. 10.1109/TGRS.2023.3285401
- Spatiotemporal distribution of groundwater drought using GRACE-based satellite estimates: a case study of Lower Gangetic Basin, India S. Nandi & S. Biswas 10.1007/s10661-024-12309-7
- Assessing the performance of satellite soil moisture on agricultural drought monitoring in the North China Plain M. Cao et al. 10.1016/j.agwat.2021.107450
- Drought hotspot analysis and risk assessment using probabilistic drought monitoring and severity–duration–frequency analysis A. Samantaray et al. 10.1002/hyp.13337
- Impact of Soil Moisture Data Characteristics on the Sensitivity to Crop Yields Under Drought and Excess Moisture Conditions C. Champagne et al. 10.3390/rs11040372
- Error characterization of global land evapotranspiration products: Collocation-based approach C. Li et al. 10.1016/j.jhydrol.2022.128102
- Remote sensing and global databases for soil moisture estimation at different depths in the Pernambuco state, Northeast Brazil M. Jucá & A. Ribeiro Neto 10.1590/2318-0331.272220220016
- Inter-comparison of satellite-retrieved and Global Land Data Assimilation System-simulated soil moisture datasets for global drought analysis Y. Liu et al. 10.1016/j.rse.2018.10.026
- Towards improved knowledge about water-related extremes based on news media information captured using artificial intelligence J. Pita Costa et al. 10.1016/j.ijdrr.2023.104172
- Trends and Extremes of Drought Episodes in Vietnam Sub-Regions during 1980–2017 at Different Timescales M. Stojanovic et al. 10.3390/w12030813
- Soil moisture evaluation over the Argentine Pampas using models, satellite estimations and in-situ measurements P. Spennemann et al. 10.1016/j.ejrh.2020.100723
- Spatio-temporal dynamic evaluation of agricultural drought based on a three-dimensional identification method in Northwest China K. Feng et al. 10.1016/j.agwat.2023.108325
- Assessment of observed changes in drought characteristics and recent vegetation dynamics over arid and semiarid areas in Sudan M. Alriah et al. 10.1007/s00704-023-04824-3
- Reconstruction of ESA CCI satellite-derived soil moisture using an artificial neural network technology L. Zhang et al. 10.1016/j.scitotenv.2021.146602
- Precipitation and Soil Moisture Spatio-Temporal Variability and Extremes over Vietnam (1981–2019): Understanding Their Links to Rice Yield L. Bui et al. 10.3390/s22051906
- Quantifying drought response sensitivity and spatial and temporal heterogeneity of vegetation in arid and semi-arid regions J. Zhang et al. 10.1080/01431161.2023.2182651
- Effects of climate on the distribution and conservation of commonly observed European earthworms R. Zeiss et al. 10.1111/cobi.14187
- Retrieval of Surface Soil Moisture over Wheat Fields during Growing Season Using C-Band Polarimetric SAR Data K. Goïta et al. 10.3390/rs15204925
- On the ability to study regional hydrometeorological changes using GPS and GRACE measurements A. Lenczuk et al. 10.1186/s40645-024-00665-4
- Evaluation of Soil Moisture Climatology and Anomaly Components Derived From ERA5-Land and GLDAS-2.1 in China Z. Wu et al. 10.1007/s11269-020-02743-w
- Validation of SMOS, SMAP, and ESA CCI Soil Moisture Over a Humid Region X. Xu & S. Frey 10.1109/JSTARS.2021.3122068
- Advancements in earth observation for water resources monitoring and management in Africa: A comprehensive review T. Dube et al. 10.1016/j.jhydrol.2023.129738
- Assessing the Environmental Performances of Nature-Based Solutions Implementation in Urban Environments through Visible and Near-Infrared Spectroscopy: A Combined Approach of Proximal and Remote Sensing for Monitoring and Evaluation G. Bonifazi et al. 10.3390/su152216076
- Agricultural Drought Trends on the Iberian Peninsula: An Analysis Using Modeled and Reanalysis Soil Moisture Products L. Almendra-Martín et al. 10.3390/atmos12020236
- Exploring the use of satellite observations of soil moisture, solar-induced chlorophyll fluorescence and vegetation optical depth to monitor droughts across India M. Likith et al. 10.1007/s12040-022-01848-7
- Evaluating a multi-step collocation approach for an ensemble climatological dataset of actual evapotranspiration over Italy C. Cammalleri et al. 10.1016/j.jhydrol.2024.132209
- Wildfire Danger Prediction and Understanding With Deep Learning S. Kondylatos et al. 10.1029/2022GL099368
- Characterization of the seasonal variation of soil moisture in Argentina M. Fernández‐Long et al. 10.1002/joc.6705
- Evaluation of a combined drought indicator against crop yield estimations and simulations over the Argentine Humid Pampas S. C. et al. 10.1007/s00704-024-05073-8
3 citations as recorded by crossref.
- Surface Freshwater Limitation Explains Worst Rice Production Anomaly in India in 2002 M. Zampieri et al. 10.3390/rs10020244
- Divergent Response of Vegetation Growth to Soil Water Availability in Dry and Wet Periods Over Central Asia W. Zhang et al. 10.1029/2020JG005912
- 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
Latest update: 25 Dec 2024
Short summary
Drought can affect large regions of the world, implying the need for a global monitoring tool. For the JRC Global Drought Observatory (GDO,
http://edo.jrc.ec.europa.eu/gdo/), 3 soil moisture anomaly datasets have been compared, in order to evaluate their consistency. The analysis performed on five macro-regions (North America, Europe, India, southern Africa and Australia) suggests the need to combine these different data sources in order to obtain robust assessments over a variety of conditions.
Drought can affect large regions of the world, implying the need for a global monitoring tool....