Article
Environmental Sciences
Daniele Torres Rodrigues, Claudio Moises Santos e Silva, Jean Souza dos Reis, Rayana Santos Araujo Palharini, Jorio Bezerra Cabral Junior, Helder Jose Farias da Silva, Pedro Rodrigues Mutti, Bergson Guedes Bezerra, Weber Andrade Goncalves
Summary: The Sao Francisco River basin in Brazil is of great economic, social, and cultural importance, with the IMERG product showing satisfactory performance in representing precipitation. However, there is an issue of underestimation of precipitation in the eastern portion of the basin.
Article
Environmental Sciences
Faisal Baig, Muhammad Abrar, Haonan Chen, Mohsen Sherif
Summary: Recent advancements in remote sensing have led to the development of several useful technologies that would significantly improve our understanding of atmospheric sciences, especially in identifying atmospheric conditions and determining the possibility and intensity of rainfall. However, there are significant disparities in using remote sensing to measure precipitation in arid regions due to various climatic and terrestrial factors. This study aims to assess the precipitation consistency, variability, and concentration over the UAE using four multi-satellite remote sensing products and daily rainfall data from 50 rain gauges. The results show that products with finer spatial resolution perform better in terms of annual and daily average values, and multiple measures should be utilized to select the best product for specific studies.
Article
Meteorology & Atmospheric Sciences
Olivier P. Prat, Brian R. Nelson, Elsa Nickl, Ronald D. Leeper
Summary: Three satellite gridded daily precipitation datasets, part of the NOAA/Climate Data Record program, were evaluated. CMORPH was found to perform consistently better than GPCP and PERSIANN-CDR, but all datasets were found to underestimate extreme rainfall events. The use of each dataset should be considered based on the specific application.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Anne-Claire Billault-Roux, Jacopo Grazioli, Julien Delanoe, Susana Jorquera, Nicolas Pauwels, Nicolas Viltard, Audrey Martini, Vincent Mariage, Christophe Le Gac, Christophe Caudoux, Clemantyne Aubry, Fabrice Bertrand, Alfons Schwarzenboeck, Louis Jaffeux, Pierre Coutris, Guy Febvre, Jean Marc Pichon, Fabien Dezitter, Josue Gehring, Aude Untersee, Christophe Calas, Jordi Figueras I. Ventura, Benoit Vie, Adrien Peyrat, Valentin Curat, Simon Rebouissoux, Alexis Berne
Summary: This article describes an international field experiment that took place in the Swiss Jura in January 2021 as part of the ICE GENESIS project. The experiment aimed to improve the measurement and understanding of ice/snow particle properties and mechanisms responsible for icing of rotor-craft and aircraft. Through a combination of airborne and ground-based instruments, observations of clouds and snowfall were collected within a specific temperature range. The experiment demonstrated its potential in monitoring precipitation and synchronizing ground-based and airborne observations.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2023)
Article
Environmental Sciences
Yang Song, Patrick D. Broxton, Mohammad Reza Ehsani, Ali Behrangi
Summary: This study assessed precipitation products using data from Alaska's SNOTEL sites, finding differences in accuracy and accumulation among various products. While correction factors improved estimates for rain gauges, challenges remain in accurately estimating snowfall.
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
Environmental Sciences
Karlis Mikelsons, Menghua Wang, Xiao-Long Wang, Lide Jiang
Summary: The study developed a methodology to derive a global medium-resolution land mask from multiple data sources, showing how combining data from different sources can improve the quality and consistency of the data. Using ocean color product imagery to evaluate and validate the new global land mask, the study demonstrated significant improvements in global ocean color data coverage accuracy.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Engineering, Geological
Hongjuan Yang, Kaiheng Hu, Shaojie Zhang, Shuang Liu
Summary: This study explores the use of satellite techniques to determine the triggering conditions of debris flow. It found that satellite-based thresholds need to be compared and adjusted with ground-based thresholds. Additionally, incorporating factors such as antecedent precipitation, rainfall intensity, and duration can improve the accuracy of the thresholds.
ENGINEERING GEOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Fadji Z. Maina, Sujay V. Kumar, Ishrat Jahan Dollan, Viviana Maggioni
Summary: Precipitation estimates in complex regions like High Mountain Asia are highly uncertain. This study presents the development of a consensus ensemble precipitation product using three gridded precipitation datasets and a localized probability matched mean approach to improve accuracy and consistency.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Article
Geosciences, Multidisciplinary
Yalei You, Christa Peters-Lidard, Sarah Ringerud, John M. Haynes
Summary: Accurately discriminating between snowfall and rainfall presents challenges, depending on the consideration of temperature information. The snowfall discrimination accuracy varies among different datasets, with over half of snowfall from GPM spaceborne radar being misclassified as rainfall. The temperature information significantly influences the discrimination performance of snowfall.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Geography, Physical
Benjamin Hines, Guoqi Qian, Antoinette Tordesillas
Summary: The study focuses on the increasing coverage, resolution, and accuracy of remotely sensed precipitation from space satellites, and the need to complement in situ rain gauge measurements for better climate resilience. With the development of PPrOFusE tool, the study aims to provide high-quality gauge and multi-satellite fused precipitation data, with findings highlighting CMORPH's accuracy in Australia and revealing two key trends in the country's changing climate.
GISCIENCE & REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Takeshi Masaki, Toshio Iguchi, Kaya Kanemaru, Kinji Furukawa, Naofumi Yoshida, Takuji Kubota, Riko Oki
Summary: This article presents the four-year calibration results of the dual-frequency precipitation radar (DPR) onboard the Global Precipitation Measurement (GPM) Core Observatory. The hardware and data processing methods were improved based on the lessons learned from the calibration of the precipitation radar (PR) on the Tropical Rainfall Measuring Mission (TRMM) satellite. The new calibration parameters provide more precise measurements for DPR.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Carlos Brieva, Patricia M. Saco, Steven G. Sandi, Sebastian Mora, Jose F. Rodriguez
Summary: Precipitation plays a crucial role in vegetation dynamics in dryland environments, especially in areas with intense livestock farming. Accurate and reliable rainfall data are essential for natural resources management and hydrological modeling. However, gauged precipitation data in drylands are often limited, fragmented, and with low spatial resolution, making satellite-estimated precipitation valuable for overcoming these limitations.
Article
Meteorology & Atmospheric Sciences
Wenhao Dong, Yi Ming
Summary: The ratio of snowfall to total precipitation (S/P ratio) is an important indicator for detecting hydrological responses to climate change in mountainous areas. This study examines the seasonality and interannual variability of S/P ratios over High Mountain Asia (HMA) from 1950 to 2014. The results show a significant decreasing trend in the S/P ratios, mainly due to reductions in snowfall. Rainfall has become the dominant form of precipitation over HMA since the mid-1990s. The increase in rainfall is attributed to the transformation of snowfall to rainfall as temperatures warm.
JOURNAL OF CLIMATE
(2022)
Article
Multidisciplinary Sciences
Mingjie Shi, John R. Worden, Adriana Bailey, David Noone, Camille Risi, Rong Fu, Sarah Worden, Robert Herman, Vivienne Payne, Thomas Pagano, Kevin Bowman, A. Anthony Bloom, Sassan Saatchi, Junjie Liu, Joshua B. Fisher
Summary: The water balance of the Amazon forest is influenced by atmospheric humidity, soil moisture, and factors such as rainfall and evapotranspiration. Rainfall primarily controls wet Amazon water balance variability, while evapotranspiration becomes important in the dry Amazon. Changes in forest biomass have a greater impact on soil moisture and humidity in the dry regions of the Amazon.
NATURE COMMUNICATIONS
(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.