195 citations as recorded by crossref.

1. Characterizing precipitation and soil moisture drydowns in Finland using SMAP satellite data K. Kouki & A. Colliander
2. A new approach for monitoring spatial and temporal changes in forest types in subtropical regions with sample migration and multi-source remote sensing data P. Zheng et al.
3. Monitoring rainfall events in desert areas using the spectral response of biological soil crusts to hydration: Evidence from the Gurbantunggut Desert, China R. Chen et al.
4. Complex spatial and size distributions of landslides in the Yarlung Tsangpo River (YTR) basin B. Zhao & L. Su
5. Performance assessment of multi-source, satellite-based and reanalysis precipitation products over variable climate of Turkey H. Hafizi & A. Sorman
6. Extent of gross underestimation of precipitation in India G. Goteti & J. Famiglietti
7. Evaluating rainfall estimates derived from soil moisture using soil hydraulic properties over the Korean Peninsula D. Kim et al.
8. Global scale error assessments of soil moisture estimates from microwave-based active and passive satellites and land surface models over forest and mixed irrigated/dryland agriculture regions H. Kim et al.
9. Estimating soil moisture conditions for drought monitoring with random forests and a simple soil moisture accounting scheme Y. Tramblay & P. Quintana Seguí
10. Estimating evapotranspiration from soil moisture using the improved soil water balance method in cold mountainous areas Y. Lai et al.
11. A universal adapter in segmentation models for transferable landslide mapping R. Wei et al.
12. HR-PrecipNet: A machine learning framework for 1-km high-resolution satellite precipitation estimation H. Mosaffa et al.
13. ADHI: the African Database of Hydrometric Indices (1950–2018) Y. Tramblay et al.
14. Rainfall estimation from surface soil moisture using SM2RAIN in cold mountainous areas Y. Lai et al.
15. Remote sensing-based drought severity modeling and mapping using multiscale intelligence methods R. Ghasempour et al.
16. Constrained negentropy optimisation (CoNE-opt): Using independent components to merge satellite data products S. Shah et al.
17. Regional-scale evaluation of 14 satellite-based precipitation products in characterising extreme events and delineating rainfall thresholds for flood hazards G. Moura Ramos Filho et al.
18. Hydrological evaluation of top-down and bottom-up rainfall products in West Africa: Model performance, parameter range and uncertainty propagation R. Yonaba et al.
19. Respective Advantages of “Top‐Down” Based GPM IMERG and “Bottom‐Up” Based SM2RAIN‐ASCAT Precipitation Products Over the Tibetan Plateau Y. Fan et al.
20. Integration of Satellite-Derived and Ground-Based Soil Moisture Observations for a Precipitation Product over the Upper Heihe River Basin, China Y. Zhang et al.
21. Accuracy Assessment of CMORPH and GPCP Satellite Precipitation Products Across Iran M. Yousefnezhad et al.
22. Stacking machine learning models versus a locally weighted linear model to generate high-resolution monthly precipitation over a topographically complex area O. Zandi et al.
23. Influences of Using Different Satellite Soil Moisture Products on SM2RAIN for Rainfall Estimation Across the Tibetan Plateau L. Miao et al.
24. Comparative meteorological data in the Mauri and Coroico river basins, in relation to satellite data A. Veizaga Medina
25. Evaluation of precipitation products for small karst catchment hydrological modeling in data-scarce mountainous regions I. Al Khoury et al.
26. Improving Daily Precipitation Estimates by Merging Satellite and Reanalysis Data in Northeast China G. Yin et al.
27. Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al.
28. Performance assessment of SM2RAIN-NWF using ASCAT soil moisture via supervised land cover-soil-climate classification M. Saeedi et al.
29. Evaluation of Satellite-Derived Precipitation Products for Streamflow Simulation of a Mountainous Himalayan Watershed: A Study of Myagdi Khola in Kali Gandaki Basin, Nepal A. Aryal et al.
30. High-resolution satellite observations for developing advanced decision support systems for water resources management in the Po River S. Camici et al.
31. High-resolution (1 km) satellite rainfall estimation from SM2RAIN applied to Sentinel-1: Po River basin as a case study P. Filippucci et al.
32. Efficiency of SPIRITS (Software for Processing and Interpretation of Remotely Sensed Image Time Serie) to Ecological Modeling: New Functionalities and Use Examples A. Zbiri et al.
33. Water-food-energy challenges in India: political economy of the sugar industry J. Lee et al.
34. Deficit in carbon uptake of vegetation on the British Iles during the 2018 European summer drought M. Queißer
35. Amazon Hydrology From Space: Scientific Advances and Future Challenges A. Fassoni‐Andrade et al.
36. A Comparison and Ranking Study of Monthly Average Rainfall Datasets with IMD Gridded Data in India V. Saicharan & S. Rangaswamy
37. A Binned Triple Collocation for Estimating Regime-Dependent Uncertainties of Precipitation V. Pellet
38. Evaluation of Satellite Precipitation Estimates over the South West Pacific Region A. Wild et al.
39. Detecting characteristics of extreme precipitation events using regional and satellite-based precipitation gridded datasets over a region in Central Europe M. Eini et al.
40. Added value of merging techniques in precipitation estimates relative to gauge-interpolation algorithms of varying complexity Y. Hu & L. Zhang
41. Assessing the accuracy and drought utility of long-term satellite-based precipitation estimation products using the triple collocation approach X. Bai et al.
42. Evaluating Remote Sensing Precipitation Products Using Double Instrumental Variable Method Z. Wei et al.
43. Assessment and Hydrological Validation of Merged Near-Real-Time Satellite Precipitation Estimates Based on the Gauge-Free Triple Collocation Approach D. Cao et al.
44. Datos meteorológicos comparativos en las cuencas de río Mauri y Coroico, en relacióna datos satelitales A. Veizaga Medina
45. Visualization‐driven hydrologic assessment using Gridded Precipitation Products T. Tran & V. Lakshmi
46. High-resolution satellite products improve hydrological modeling in northern Italy L. Alfieri et al.
47. Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach L. Zhang et al.
48. Causality-Structured Deep Learning for Soil Moisture Predictions L. Li et al.
49. SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 Q. Zhang et al.
50. A novel validation of satellite soil moisture using SM2RAIN-derived rainfall estimates S. Do et al.
51. Evaluation of multi-satellite precipitation products in estimating precipitation extremes over mainland China at annual, seasonal and monthly scales Y. Zhang et al.
52. Improving the SM2RAIN-derived rainfall estimation using Bayesian optimization L. Miao et al.
53. Insights into the Landslides Triggered by the 2022 Lushan Ms 6.1 Earthquake: Spatial Distribution and Controls B. Zhao et al.
54. A satellite-driven approach to estimating delivered irrigation water via SM-based inversion algorithm: A case study of the Doroodzan irrigation district, Iran P. Afrasiabikia et al.
55. Precipitation data merging via machine learning: Revisiting conceptual and technical aspects P. Kossieris et al.
56. A newly merging approach of multiple precipitation products by combining time-varying quadruple collocation and random forest spatial interpolation S. Xu et al.
57. Toward a self-calibrated and independent SM2RAIN rainfall product P. Filippucci et al.
58. Spatiotemporal Analysis of Soil Moisture Variability and Its Driving Factor D. Yin et al.
59. Extreme precipitations and their influence on the River flood Hazards: A case study of the Sana River Basin in Bosnia and Herzegovina L. Sabljić et al.
60. A deep learning-based framework for multi-source precipitation fusion K. Gavahi et al.
61. A novel land surface temperature reconstruction method and its application for downscaling surface soil moisture with machine learning O. Güngör Şahin & O. Gündüz
62. Comparison of Machine Learning Algorithms for Daily Runoff Forecasting with Global Rainfall Products in Algeria R. Bounab et al.
63. A changepoint approach to automated estimation of soil moisture drydown parameters from time series data M. Gong et al.
64. Evaluation and integration of the top-down and bottom-up satellite precipitation products over mainland China L. Zhang et al.
65. The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia X. Lu et al.
66. Estimating soil water flux from single-depth soil moisture data M. Sadeghi et al.
67. A new approach to ensemble precipitation Estimation: Coupling satellite hydrological products with backward water balance models in Large-Scale P. Dastjerdi et al.
68. Advancing High-Mountain Precipitation Reconstruction Through Merging of Multiple Data Sources: Triple Collocation Versus Signal-to-Noise Ratio Optimization S. Shah et al.
69. The Global Water Cycle Budget: A Chronological Review M. Vargas Godoy et al.
70. Corrigendum to “Robustness of gridded precipitation products for Vietnam basins using the comprehensive assessment framework of rainfall” [Atmospheric Research volume 293 (2023) 106923] T. Tran et al.
71. Interpreting effective hydrologic depth estimates derived from soil moisture remote sensing: A Bayesian non-linear modeling approach H. Kim & W. Crow
72. A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements J. Peng et al.
73. The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison T. Pellarin et al.
74. SM2RAIN-ASCAT satellite-based spatiotemporal drought monitoring using multiscale WT-VMD-ENERGY method R. Ghasempour et al.
75. Detecting drought events over a region in Central Europe using a regional and two satellite-based precipitation datasets M. Eini et al.
76. Assessment of SM2RAIN derived and IMERG based precipitation products for hydrological simulation A. Pradhan & J. Indu
77. Practical Data Products From Cosmic-Ray Neutron Sensing for Hydrological Applications T. Franz et al.
78. Geomorphic and tectonic controls of landslides induced by the 2022 Luding earthquake B. Zhao et al.
79. An algorithm to improve satellite-only precipitation estimates over the Tibetan Plateau L. Wei et al.
80. Robustness of gridded precipitation products for vietnam basins using the comprehensive assessment framework of rainfall T. Tran et al.
81. Bridging spatio-temporal discontinuities in global soil moisture mapping by coupling physics in deep learning Z. Wei et al.
82. Performance evaluation of four remote-sensing products throughout precipitation estimation in the State of Paraíba, Northeast Brazil F. Costa et al.
83. SMPD: a soil moisture-based precipitation downscaling method for high-resolution daily satellite precipitation estimation K. He et al.
84. Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale M. Bordoni et al.
85. Temporal Gap‐Filling of 12‐Hourly SMAP Soil Moisture Over the CONUS Using Water Balance Budgeting R. Zhang et al.
86. Introducing a new clustering-based method for regionalization framework for continental-scale rainfall estimates from soil moisture dynamics using machine learning methods M. Saeedi et al.
87. Estimation of Global Irrigation Water Use by the Integration of Multiple Satellite Observations K. Zhang et al.
88. IMERG BraMaL: An improved gridded monthly rainfall product for Brazil based on satellite‐based IMERG estimates and machine learning techniques E. Freitas et al.
89. NDVI Prediction of Mediterranean Permanent Grasslands Using Soil Moisture Products F. Milazzo et al.
90. A first evaluation of satellite soil moisture products over the Central-Western Tibetan Plateau using rain gauge observations C. Huang et al.
91. Spatiotemporal drought monitoring using bottom-up precipitation dataset (SM2RAIN-ASCAT) over different regions of Iran S. Koohi et al.
92. Triple collocation-based error estimation and data fusion of global gridded precipitation products over the Yangtze River basin C. Chen et al.
93. A novel high-resolution gridded precipitation dataset for Peruvian and Ecuadorian watersheds – development and hydrological evaluation
94. Disentangling error structures of precipitation datasets using decision trees X. Sui et al.
95. Intelligent mapping paradigm to overcome systematic bias in remote sensing SOC estimation: A case study of the black soil region in China and the United States C. Wang et al.
96. An Improved Change Detection Method for Time-Series Soil Moisture Retrieval in Semi-Arid Area J. Zhang & L. Tao
97. Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso R. Yonaba et al.
98. A review of recent earthquake-induced landslides on the Tibetan Plateau B. Zhao et al.
99. Evaluation of factors controlling the spatial and size distributions of landslides, 2021 Nippes earthquake, Haiti B. Zhao et al.
100. Quantifying the Added Values of a Merged Precipitation Product in Streamflow Prediction over the Central Himalayas S. Guragain et al.
101. Integrating categorical and standard triple collocation to improve precipitation fusion over the five largest freshwater lakes in China L. Li et al.
102. Quantification of Gridded Precipitation Products for the Streamflow Simulation on the Mekong River Basin Using Rainfall Assessment Framework: A Case Study for the Srepok River Subbasin, Central Highland Vietnam T. Tran et al.
103. A combined extended triple collocation and cumulative distribution function merging framework for improved daily precipitation estimates over mainland China L. Wei et al.
104. Spatially continuous assessment of satellite-based precipitation products using triple collocation approach and discrete gauge observations via geographically weighted regression P. Wang et al.
105. Understanding the Spatial Distribution of Ecotourism in Indonesia and Its Relevance to the Protected Landscape S. Sisriany & K. Furuya
106. Remote sensing in hydrology: A systematic review of its applications in the Upper Blue Nile Basin, Ethiopia Y. Mekonnen et al.
107. Multiple Spatial and Temporal Scales Evaluation of Eight Satellite Precipitation Products in a Mountainous Catchment of South China B. Guo et al.
108. Simbi: historical hydro-meteorological time series and signatures for 24 catchments in Haiti R. Bathelemy et al.
109. Climate-dependent propagation of precipitation uncertainty into the water cycle A. Fallah et al.
110. Application of satellite and reanalysis precipitation products for hydrological modeling in the data-scarce Porijõgi catchment, Estonia D. Moges et al.
111. Understanding the performance of global precipitation products for hydrological modeling in the data-scarce morphologically complex central Himalayan region S. Sandilya et al.
112. Evaluation of runoff estimation from GRACE coupled with different meteorological gridded products over the Upper Blue Nile Basin K. Alghafli et al.
113. Multi-criteria evaluation of satellite-based precipitation estimates over agro-climatic zones of India D. Dayal et al.
114. Unpacking some of the linkages between uncertainties in observational data and the simulation of different hydrological processes using the Pitman model in the data scarce Zambezi River basin D. Hughes & F. Farinosi
115. A comprehensive assessment of SM2RAIN-NWF using ASCAT and a combination of ASCAT and SMAP soil moisture products for rainfall estimation M. Saeedi et al.
116. Spatial and size distributions of large landslides along the southeastern margin of the Tibetan Plateau: the case of the Liangshan area G. Sun et al.
117. Towards a novel high-spatial-resolution satellite rainfall product from C-band SAR Sentinel-1 over Central South Korea based on a bottom-up approach H. Nguyen et al.
118. Soil loss assessment by RUSLE in the cloud-based platform (GEE) in Nigeria Z. Islam
119. Generation of global 1 km daily soil moisture product from 2000 to 2020 using ensemble learning Y. Zhang et al.
120. Multi-Source Daily Precipitation Merging over the Yangtze River Basin Using Triple Collocation J. Wang et al.
121. Assessing the SM2RAIN-ASCAT dataset in Morocco: Accuracy evaluation and drought monitoring application S. El Goumi et al.
122. Reconstructing Precipitation Events Using Collocated Soil Moisture Information N. Parker & A. Patrignani
123. Assessment of Four Satellite-Based Precipitation Products Over the Pearl River Basin, China X. Xia et al.
124. Full-Cycle Evaluation of Multi-Source Precipitation Products for Hydrological Applications in the Magat River Basin, Philippines J. Gacu et al.
125. Toward an improved ensemble of multi-source daily precipitation via joint machine learning classification and regression H. Chen et al.
126. River flow prediction in data scarce regions: soil moisture integrated satellite rainfall products outperform rain gauge observations in West Africa L. Brocca et al.
127. Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al.
128. Saudi Rainfall (SaRa): hourly 0.1° gridded rainfall (1979–present) for Saudi Arabia via machine learning fusion of satellite and model data X. Wang et al.
129. Evaluation of Satellite Rainfall Products over the Mahaweli River Basin in Sri Lanka H. Perera et al.
130. Evaluating drought monitoring utility of the top-down and bottom-up satellite precipitation products over mainland China from a three-dimensional perspective Y. Zhang et al.
131. Assessment and Data Fusion of Satellite-Based Precipitation Estimation Products over Ungauged Areas Based on Triple Collocation without In Situ Observations X. Wu et al.
132. Evaluation of precipitation elasticity using precipitation data from ground and satellite-based estimates and watershed modeling in Western Nepal R. Talchabhadel et al.
133. Intercomparison of Earth Observation products for hyper-resolution hydrological modelling over Europe A. García-García et al.
134. Partitioning of Historical Precipitation Into Evaporation and Runoff Based on Hydrologic Dynamics Identified With Recent SMAP Satellite Measurements R. Akbar et al.
135. Development of HYPER-P: HYdroclimatic PERformance-enhanced Precipitation at 1 km/daily over the Europe-Mediterranean region from 2007 to 2022 P. Filippucci et al.
136. Reliability of SM2RAIN precipitation datasets in comparison to gauge observations and hydrological modelling over arid regions F. Satgé et al.
137. Evaluation of the accuracy of six satellite precipitation products and their spatial-temporal variability patterns using ground station data (case study: Mazandaran province, Iran) S. Bararkhanpour Ahmadi et al.
138. Geomorphic impacts of wildfire on soil erosion: pre- and post-fire RUSLE modeling in Bosco Difesa Grande, Southern Italy, using Google Earth Engine S. Zahabnazouri et al.
139. GEE-assisted RUSLE modeling of water erosion: case of the Ifni Massif and Lakhssas plateau (Western Anti-Atlas, Morocco) M. Sebbab et al.
140. The Potential of EO Data for Enhanced Flood Monitoring and Forecasting: A Consortium Assessment A. Tarpanelli et al.
141. Assessment of Bottom-Up Satellite Precipitation Products on River Streamflow Estimations in the Peruvian Pacific Drainage J. Qquenta et al.
142. Improving daily precipitation estimation using a double triple collocation-based (DTC) merging framework J. Gu et al.
143. Climatological and geological controls on seismic earthflows in coastal areas B. Zhao
144. Comprehensive comparison of different gridded precipitation products over geographic regions of Türkiye B. Khorrami et al.
145. Comprehensive performance evaluation of satellite-based and reanalysis rainfall estimate products in Ethiopia: For drought, flood, and water resources applications. D. Wodebo et al.
146. Investigating hydrological modeling uncertainties in the Mediterranean region by combining precipitation and soil moisture products V. Sivelle et al.
147. Performance evaluation of satellite-based rainfall estimation across climatic zones in Burkina Faso J. Garba et al.
148. True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis H. Kim et al.
149. SM2RAIN–dual: a global rainfall fusion product derived from multi-source satellite soil moisture observations L. Miao et al.
150. Hydrometeorological analysis of a flash flood event in an ungauged Mediterranean watershed under an operational forecasting and monitoring context C. Giannaros et al.
151. Assessing the variability of satellite and reanalysis rainfall products over a semiarid catchment in Tunisia I. Gharnouki et al.
152. Enhancing the Australian Gridded Climate Dataset rainfall analysis using satellite data Z. Chua et al.
153. SM2RAIN-Climate, a monthly global long-term rainfall dataset for climatological studies H. Mosaffa et al.
154. Satellite-based soil moisture enhances the reliability of agro-hydrological modeling in large transboundary river basins M. Eini et al.
155. Applicability Evaluation of Multisource Satellite Precipitation Data for Hydrological Research in Arid Mountainous Areas X. Wang et al.
156. Predictive modeling of land surface temperature dynamics in Damascus, Syria using google earth engine: a remote sensing and random forest approach M. Khalil & J. Kumar
157. SMPD-MERG: A Hybrid Downscaling Model for High-Resolution Daily Precipitation Estimation via Merging Surface Soil Moisture and Multisource Precipitation Data K. He et al.
158. Easy-to-use spatial random-forest-based downscaling-calibration method for producing precipitation data with high resolution and high accuracy C. Chen et al.
159. New Investigation and Challenge for Spatiotemporal Drought Monitoring Using Bottom-Up Precipitation Dataset (SM2RAIN-ASCAT) and NDVI in Moroccan Arid and Semi-Arid Rangelands A. Zbiri et al.
160. Evaluation of PERSIANN-CCS-CDR, ERA5, and SM2RAIN-ASCAT rainfall products for rainfall and drought assessment in a semi-arid watershed, Morocco A. Najmi et al.
161. Drainage estimation across mountainous regions from large-scale soil moisture observations J. Tian et al.
162. Satellite-Based Rainfall Datasets: A Global Systematic Review of Applications, Accuracy, and Research Gaps L. Conte et al.
163. Uncertainty Quantification of Satellite Soil Moisture Retrieved Precipitation in the Central Tibetan Plateau K. Zhang et al.
164. Future climate or land use? Attribution of changes in surface runoff in a typical Sahelian landscape R. Yonaba et al.
165. Hydrologic Utility of Satellite-Based and Gauge-Based Gridded Precipitation Products in the Huai Bang Sai Watershed of Northeastern Thailand M. Gunathilake et al.
166. Influence of Calibration Parameter Selection on Flash Flood Simulation for Small to Medium Catchments with MISDc-2L Model N. Nguyen et al.
167. A Physics-Based Algorithm to Couple CYGNSS Surface Reflectivity and SMAP Brightness Temperature Estimates for Accurate Soil Moisture Retrieval T. Yang et al.
168. Classifying Forest Types over a Mountainous Area in Southwest China with Landsat Data Composites and Multiple Environmental Factors R. Li et al.
169. Sentinel-2 Analysis of Spruce Crown Transparency Levels and Their Environmental Drivers After Summer Drought in the Northern Eifel (Germany) C. Montzka et al.
170. Assessment of Merged Satellite Precipitation Datasets in Monitoring Meteorological Drought over Pakistan K. Rahman et al.
171. Fusing Satellite Precipitation Products Based on Top–Down and Bottom–Up Approaches and an Improved Double Instrumental Variable Method for the Chuanyu Region, China, from 2007 to 2019 Z. Wei et al.
172. Analysing Urban Flooding Risk with CMIP5 and CMIP6 Climate Projections R. Oyelakin et al.
173. An Extended Triple Collocation Method With Maximized Correlation for Near Global‐Land Precipitation Fusion L. Wei et al.
174. Assessment of Multiple Satellite Precipitation Products over Italy G. Pellicone et al.
175. A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al.
176. Estimating seasonal variations in snow water equivalent in High Mountain Asia using differences in precipitation retrieved by top-down and bottom-up methods Y. Deng et al.
177. Assessment of bottom-up satellite rainfall products on estimating river discharge and hydrologic signatures in Brazilian catchments A. Almagro et al.
178. Spatiotemporal estimation of 6-hour high-resolution precipitation across China based on Himawari-8 using a stacking ensemble machine learning model S. Zhou et al.
179. A Comparison of Various Correction and Blending Techniques for Creating an Improved Satellite-Gauge Rainfall Dataset over Australia Z. Chua et al.
180. A synthesis of hydroclimatic, ecological, and socioeconomic data for transdisciplinary research in the Mekong A. Tiwari et al.
181. River runoff estimation with satellite rainfall in Morocco Y. Tramblay et al.
182. RainMerge: a two-stage framework for gauge-independent merging of multiple rainfall products S. Shah et al.
183. Exploring the actual spatial resolution of 1 km satellite soil moisture products L. Brocca et al.
184. SPAR-TC: A framework for accounting spatial representativeness in triple collocation D. Gupta & C. Dhanya
185. Evapotranspiration Changes over the European Alps: Consistency of Trends and Their Drivers between the MOD16 and SSEBop Algorithms M. Castelli
186. Spatial and Temporal Evaluation of the Latest High-Resolution Precipitation Products over the Upper Blue Nile River Basin, Ethiopia S. Abebe et al.
187. Spatio-temporal analysis of flood events using GIS and remote sensing-based approach in the Ukrina River Basin, Bosnia and Herzegovina L. Sabljić et al.
188. Which rainfall score is more informative about the performance in river discharge simulation? A comprehensive assessment on 1318 basins over Europe S. Camici et al.
189. Blending gauge, multi-satellite and atmospheric reanalysis precipitation products to facilitate drought monitoring S. Cheng et al.
190. Toward a better understanding of uncertainty for satellite precipitation products over complex terrain with sparse rain gauge data Y. Gai et al.
191. The magnitude and frequency of detected precipitation determine the accuracy performance of precipitation data sets in the high mountains of Asia Y. Deng et al.
192. A novel approach for estimating groundwater recharge leveraging high-resolution satellite soil moisture J. Dari et al.
193. An assessment of global satellite‐based precipitation datasets in capturing precipitation extremes: A comparison with observed precipitation dataset in India V. Gupta et al.
194. Synergism of Multi-Modal Data for Mapping Tree Species Distribution—A Case Study from a Mountainous Forest in Southwest China P. Zheng et al.
195. Improvement of Spatial Interpolation of Precipitation Distribution Using Cokriging Incorporating Rain-Gauge and Satellite (SMOS) Soil Moisture Data B. Usowicz et al.