Article
Meteorology & Atmospheric Sciences
He Sun, Fengge Su, Zhihua He, Tinghai Ou, Deliang Chen, Zhenhua Li, Yanping Li
Summary: This study evaluates the hydrological potential of two sets of precipitation estimates based on the WRF model in the Third Pole region. The WRF-9km shows promise for monsoon-dominated basins, while the HAR performs well in the upper Indus and upper Brahmaputra basins. Both RCM precipitation estimates can accurately detect daily precipitation events but have limited capabilities in flood prediction.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Engineering, Civil
Shanshan Qi, Aifeng Lv, Gangsheng Wang, Chuanhui Zhang
Summary: Given the challenges in accurately estimating precipitation due to its greater variability in mountainous regions without rain gauges, this study developed a nonlinear precipitation correction method in the SWAT model to improve distributed hydrological modeling. Three configurations were proposed to determine the parameters for precipitation correction, and the method was applied to a poorly-gauged alpine inland basin in Northwest China. Results showed that one configuration outperformed the others, particularly when using GPM precipitation datasets. This study provides a feasible method to derive more accurate spatiotemporal precipitation estimates and improve hydrological modeling in poorly-gauged and ungauged basins.
JOURNAL OF HYDROLOGY
(2023)
Article
Water Resources
Ankit Singh, Shubham Tiwari, Sanjeev Kumar Jha
Summary: This study compares the performance of quantitative precipitation forecasts obtained from national and international agencies for streamflow forecasting, finding that the forecast accuracy of the national agency is comparable to that of the European agency. The results suggest that selecting accurate observation data is critical for forecast performance evaluation.
HYDROLOGICAL SCIENCES JOURNAL
(2021)
Article
Environmental Sciences
Yiheng Xiang, Jie Chen, Lu Li, Tao Peng, Zhiyuan Yin
Summary: This study comprehensively evaluates the performance of eight widely used global precipitation datasets in hydrological modeling. GPCC and MSWEP V2.0 show the best performance overall, with PPs incorporating daily gauge data providing superior hydrological performance. Performance of the datasets is better in temperate regions compared to arid or mountainous regions, and specific calibration and bias correction can improve streamflow simulations for all datasets analyzed.
Article
Environmental Sciences
Guoqiang Tang, Martyn P. Clark, Wouter J. M. Knoben, Hongli Liu, Shervan Gharari, Louise Arnal, Hylke E. Beck, Andrew W. Wood, Andrew J. Newman, Simon Michael Papalexiou
Summary: This study analyzes the impact of uncertainties in meteorological forcing data on hydrological modeling, specifically in cryosphere basins. It quantifies the uncertainties in various variables and finds that precipitation uncertainties have the dominant impact.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Mohammad Reza Eini, Christian Massari, Mikolaj Piniewski
Summary: Satellite-based observations of soil moisture, leaf area index, precipitation, and evapotranspiration are used in agrohydrological modeling. This study utilized the Climate Change Initiative Soil Moisture dataset adjusted based on Soil Water Index for agro-hydrological modeling in a transboundary river basin. The results showed that incorporating satellite-based soil moisture in the calibration process improved the accuracy and consistency of agro-hydrological modeling.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Review
Environmental Sciences
Gonzalo Yanez-Morroni, Francisco Suarez, Jose F. Munoz, Magdalena Sofia Lagos
Summary: This article examines the potential of using short-term in situ and remotely collected data to validate a hydrological model of the Silala River basin. The results show that the model accurately captures the dynamics of snow cover areal fraction (SCF) at annual and monthly timescales, as well as the actual evapotranspiration (ETa) in the alluvial deposits. However, the model underestimates the ETa during low ETa periods, and the satellite-based ETa estimates in the wetlands are higher than those determined from in situ measurements. Despite the limitations of a limited period, these validation results demonstrate the usefulness of satellite tools and limited in situ data for watersheds with scarce long-term data.
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2023)
Article
Engineering, Civil
Jianbin Su, Xin Li, Weiwei Ren, Haishen Lu, Donghai Zheng
Summary: This study evaluates the performance of satellite-based precipitation estimations in guiding hydrological modeling in South China. The results show that IMERG-F outperforms IMERG-E in the region, while TMPA 3B42 falls between them. Using satellite-based precipitation estimations for hydrological modeling shows promising results in ungauged catchments.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Sanghoon Shin, Yadu Pokhrel, Rocky Talchabhadel, Jeeban Panthi
Summary: The hydrology of the Himalayan region is rapidly changing due to climate change and human influences. This study provides a comprehensive assessment of changes in river discharge, flood occurrence, and terrestrial water storage across Nepal, revealing varied dynamics in different river basins and complex evolution of flood dynamics. The study also highlights the continuous decline in groundwater storage in recent decades, with important implications for water resources management in the region.
JOURNAL OF HYDROLOGY
(2021)
Article
Multidisciplinary Sciences
Sangam Shrestha, Deg-Hyo Bae, Panha Hok, Suwas Ghimire, Yadu Pokhrel
Summary: This study presents a comprehensive analysis of the impacts of climate change on hydrology in 19 river basins in South and Southeast Asia, finding that these regions will experience increased warmth, wetness, and river flow under climate change. The study highlights the high spatiotemporal variability in the impact of climate change and emphasizes the importance of similar studies on a larger scale for broader understanding.
SCIENTIFIC REPORTS
(2021)
Article
Environmental Sciences
Yao Li, Wensheng Wang, Guoqing Wang, Siyi Yu
Summary: A multi-source precipitation fusion method for the SWAT model was proposed, which improved the simulation accuracy in the Tuojiang River Basin.
Review
Geosciences, Multidisciplinary
Chansheng He, L. Allan James
Summary: In recent years, advancements in hydrological research and water resources management have failed to effectively address the intensifying global water crisis. The lack of interaction between hydrological research and water resource management is identified as a key issue. Watershed science has the potential to bridge this gap and provide a new approach to addressing the current water crisis and achieving the UN Sustainable Development Goals.
SCIENCE CHINA-EARTH SCIENCES
(2021)
Article
Water Resources
Zhaofei Liu
Summary: In this study, RS global ET data sets were evaluated in 19 major inland basins around the world. The main cause of ET changes in most basins was found to be precipitation changes. Human activities, particularly increased irrigation diversion, dominated the ET changes in certain basins. Overall, the global land surface satellite and global land evaporation Amsterdam model products performed the best in inland basins.
HYDROLOGICAL PROCESSES
(2022)
Article
Geosciences, Multidisciplinary
Shaotang Xiong, Tongtiegang Zhao, Chengchao Guo, Yu Tian, Fang Yang, Wenlong Chen, Xiaohong Chen
Summary: This study proposes a mathematical method to investigate the changes in compound dry and hot events (CDHEs) and the attribution to precipitation, temperature, and the dependence between them. Using China as a case study, it is found that temperature is the main driving factor for the increase in CDHEs in most regions of China, while precipitation changes dominate in the western part of China, and the dependence between precipitation and temperature has an impact on CDHEs in certain regions.
SCIENCE CHINA-EARTH SCIENCES
(2023)
Article
Environmental Sciences
Qi Huang, Di Long, Zhongying Han, Pengfei Han
Summary: This study presents a methodology for estimating daily continuous discharge using remote sensing and a hydrological model without relying on ground-based measurements. The methodology was successfully tested in ungauged headwaters with narrow river widths and complex terrain, showing the potential for discharge estimation globally and providing implications for satellite-based discharge estimation in high-mountain regions.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Meteorology & Atmospheric Sciences
Sara M. Vallejo-Bernal, Viviana Urrea, Juan M. Bedoya-Soto, Daniela Posada, Alejandro Olarte, Yadira Cardenas-Posso, Franklyn Ruiz-Murcia, Maria T. Martinez, Walter A. Petersen, George J. Huffman, German Poveda
Summary: This study validates precipitation estimates from TRMM by analyzing error metrics between the 3B43 V7 product and in situ measurements in Colombia. Results show that performance varies across different regions, with good performance in low-lying areas and poorer performance in mountainous and coastal regions due to complex climatic and topographic conditions. The study highlights challenges remote precipitation sensing faces in regions with complex features, such as the Andes and Pacific regions.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Gerald L. Potter, George J. Huffman, David T. Bolvin, Michael G. Bosilovich, Judy Hertz, Laura E. Carriere
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2020)
Article
Engineering, Civil
Emerson da S. Freitas, Victor Hugo R. Coelho, Yunqing Xuan, Davi de C. D. Melo, Andre N. Gadelha, Elias A. Santos, Carlos de O. Galvao, Geraldo M. Ramos Filho, Luis Romero Barbosa, George J. Huffman, Walt A. Petersen, Cristiano das N. Almeida
JOURNAL OF HYDROLOGY
(2020)
Article
Meteorology & Atmospheric Sciences
Jackson Tan, George J. Huffman, David T. Bolvin, Eric J. Nelkin, Manikandan Rajagopal
Summary: Combining observations from multiple fields and using weighted averaging is a key strategy in obtaining complete global coverage of high-resolution precipitation. The SHARPEN scheme is introduced to recover the distribution of averaged precipitation fields and improve precipitation detection skill, with a slight reduction in correlation likely due to a sharper precipitation field.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Mohammad Reza Ehsani, Ali Behrangi, Abishek Adhikari, Yang Song, George J. Huffman, Robert F. Adler, David T. Bolvin, Eric J. Nelkin
Summary: The study shows that a machine learning algorithm based on AVHRR can be used for snowfall detection and estimation in high latitudes, with comparable or better statistical scores relative to other sensors, providing a useful input for merged precipitation products.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Maheshwari Neelam, Rajat Bindlish, Peggy O'Neill, George J. Huffman, Rolf Reichle, Steven Chan, Andreas Colliander
Summary: The precipitation flag in the SMAP Level 2 passive soil moisture retrieval product is based on GEOS model forecasts and compared to IMERG satellite precipitation estimates, showing that IMERG has higher spatial variability and more light precipitation. However, replacing GEOS precipitation forecasts with IMERG measurements has minimal impact on the accuracy of soil moisture detection in the L2SMP product.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
David T. Bolvin, George J. Huffman, Eric J. Nelkin, Jackson Tan
Summary: Satellite-based precipitation estimates were compared with gauge observations from low-lying atolls in the Pacific region, showing differences in accuracy across different seasons and intensity levels of precipitation. Despite variations over time, no clear trend or dependence on atoll population was observed. These results provide valuable insights for future improvements to the IMERG system.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Environmental Sciences
Majid Kazemzadeh, Hossein Hashemi, Sadegh Jamali, Cintia B. Uvo, Ronny Berndtsson, George J. Huffman
Summary: The study developed a new model to detect trends in satellite precipitation data, finding that 12.3% of pixel-based precipitation time series show significant trends, with a dominance of linear trends across continents. Decreasing trends cover larger areas than increasing trends except in Asia, and linear trends dominate in warm temperate and equatorial climates.
Article
Meteorology & Atmospheric Sciences
Chris C. Funk, Pete Peterson, George J. Huffman, Martin Francis Landsfeld, Christa Peters-Lidard, Frank Davenport, Shraddhanand Shukla, Seth Peterson, Diego H. Pedreros, Alex C. Ruane, Carolyn Mutter, Will Turner, Laura Harrison, Austin Sonnier, Juliet Way-Henthorne, Gregory J. Husak
Summary: This study presents a new gauge-enhanced dataset called CHIMES, which is designed to support global crop and hydrologic modeling and monitoring. The dataset improves precipitation estimates by incorporating high-resolution climatology and rain gauge observations.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2022)
Article
Meteorology & Atmospheric Sciences
Chris Kidd, George Huffman, Viviana Maggioni, Philippe Chambon, Riko Oki
Summary: The current and future requirements for global precipitation from satellite sensors include providing sufficiently fine spatial resolutions, a wide channel diversity, temporal sampling commensurate with precipitation variability, and precipitation radars and radiometers in low-inclination orbit. These issues are critical in ensuring continuity for long-term climate studies.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2021)
Article
Meteorology & Atmospheric Sciences
Clement Guilloteau, Efi Foufoula-Georgiou, Pierre Kirstetter, Jackson Tan, George J. Huffman
Summary: This study evaluates five high-resolution multisatellite precipitation products using space-time Fourier spectral analysis, revealing that all products show deficiencies in capturing the spatial organization and dynamics of precipitation systems, appearing excessively "smooth." IMERG-Final product demonstrates superior ability in resolving the space-time dynamics of precipitation at scales down to 200 km and 4 hours.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Manikandan Rajagopal, Edward Zipser, George Huffman, James Russell, Jackson Tan
Summary: The study highlights the strong dependency of IMERG precipitation products on passive microwave observations, with potential for producing spurious precipitation areas in the absence of such observations. Bulk statistics reveal systematic biases in IMERG Version 06, indicating deficiencies in the Kalman filter scheme. Further development of the Scheme for Histogram Adjustment with Ranked Precipitation Estimates in the Neighborhood (SHARPEN) is proposed to address these issues in the next version.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Environmental Sciences
Randal D. Koster, Qing Liu, Rolf H. Reichle, George J. Huffman
Summary: This study combined three independent, quasi-global, gridded precipitation data sets with a land surface model, finding that the merged data set performed better in simulating soil moisture and air temperature variations.
WATER RESOURCES RESEARCH
(2021)
Article
Meteorology & Atmospheric Sciences
Clement Guilloteau, Efi Foufoula-Georgiou, Pierre Kirstetter, Jackson Tan, George J. Huffman
Summary: This study proposes a spectral error model for satellite precipitation estimation, which takes into account the multiscale dynamics of neighboring space-time. The empirical analysis shows that systematic filtering plays an important role in the error of IMERG product, highlighting the significance of considering filtering effects in high-resolution satellite precipitation products.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Article
Environmental Sciences
Jianxin Wang, David B. Wolff, Jackson Tan, David A. Marks, Jason L. Pippitt, George J. Huffman
Summary: The IMERG precipitation products V05B and V06B from the GPM mission are validated against ground-based radar observations, and it is found that both versions underestimate precipitation rates with V06B showing improved performance compared to V05B. Among the satellite sensors, imagers perform better than sounders, with GMI and AMSR2 being the top performers, while among sounders, MHS performs the best.