Results 71 to 80 of about 1,454 (169)

Impacts of Spatial and Temporal Station Availability on Gridded Precipitation Products in Central America

Earth and Space Science, Volume 12, Issue 12, December 2025.
Abstract Gridded precipitation data sets have become essential for understanding climate variability and long‐term trends; however, their accuracy and reliability strongly depend on the availability and the spatial and temporal distribution of in situ meteorological observations. Here, we evaluate the performance of four gridded precipitation products:
Isabel González‐Méndez, Diego Pons, Talia G. Anderson, Irma Ayes Rivera, Kevin J. Anchukaitis   +4 more
wiley   +1 more source

Towards Accurate Flood Forecasting: Integrating Satellite Data, Hydrological Modeling, and Deep Learning

Journal of Flood Risk Management, Volume 18, Issue 4, December 2025.
ABSTRACT In hydrologic modeling, forecasting peak floods is a complex and high‐priority task, particularly in regions with limited in situ observations. This research investigates the potential of utilizing satellite‐based precipitation products with near real‐time updates (NRT‐SbPP), together with deep learning, to improve peak flow estimation and ...
Saeideh Pourentezari, Hossein Salehi, Alireza Razeghi Haghighi, Mojtaba Sadeghi, Alireza Faridhosseini   +4 more
wiley   +1 more source

Evaluation of Six Satellite-Based Precipitation Products and Their Ability for Capturing Characteristics of Extreme Precipitation Events over a Climate Transition Area in China

Remote Sensing, 2019
Extreme precipitation has received much attention because of its implications for hazard assessment and risk management. However, accurate precipitation information for extreme precipitation research from dense rain gauges is still difficult to obtain in
Jie Liu, Jun Xia, Dunxian She, Lingcheng Li, Qiang Wang, Lei Zou   +5 more
doaj   +1 more source

La Niña Impacts on Southeastern African Climate: The Influence of Event Duration

International Journal of Climatology, Volume 45, Issue 14, 30 November 2025.
ABSTRACT The multiyear La Niña event of 2020–2023, which brought with it several climate disasters across the globe, sparked both mainstream and scientific interest in La Niña events, which typically have received less attention than El Niño. In southern Africa, there is a general expectation in the scientific community and among user groups that La ...
Wanjiru Thoithi, Ross C. Blamey, Chris J. C. Reason   +2 more
wiley   +1 more source

Soil moisture modelling of a SMOS pixel: interest of using the PERSIANN database over the Valencia Anchor Station [PDF]

Hydrology and Earth System Sciences, 2010
Abstract. In the framework of Soil Moisture and Ocean Salinity (SMOS) Calibration/Validation (Cal/Val) activities, this study addresses the use of the PERSIANN-CCS1database in hydrological applications to accurately simulate a whole SMOS pixel by representing the spatial and temporal heterogeneity of the soil moisture fields over a wide area (50×50 km2)
Juglea, Silvia Enache, Kerr, Yann H., Mialon, Arnaud, Lopez-Baeza, Ernesto, Braithwaite, Dan, Hsu, Kuolin   +5 more
openaire   +7 more sources

Uncovering Rainfall Trend Discrepancies in Brazil (1983–2022): Insights From Ground‐Based and Blended Datasets

International Journal of Climatology, Volume 45, Issue 13, 15 November 2025.
Performance comparison between ground‐based (BR‐DWGD), satellite‐based (CHIRPS and PERSIANN‐CDR) and reanalysis (ERA5‐Land and MERRA‐2) rainfall datasets highlighted challenges in interpreting rainfall trends due to limitations of datasets’ methodologies, the scope of the effects of climate change, and the researchers' understanding.
Jaqueline Vígolo Coutinho, Guillaume Francis Bertrand, Victor Hugo Rabelo Coelho, Emerson da Silva Freitas, Geraldo Moura Ramos Filho, Cristiano das Neves Almeida   +5 more
wiley   +1 more source

Evaluating PERSIANN-CDR and ERA5 Precipitation Products: Insights from Bandung Raya

Jurnal Teknik Sipil
Accurate precipitation estimation is essential for hydrological studies, particularly in regions with complex climatic and topographical characteristics, such as Greater Bandung, Indonesia. This study evaluates the performance of two high-resolution global precipitation datasets (GPDs), ERA5 and PERSIANN-CDR, by comparing them against observations from
Danurendro Ramadhani Putro, Obaja Triputera Wijaya   +1 more
openaire   +1 more source

Utility of satellite-based precipitation products for drought monitoring over Morocco

Geomatics, Natural Hazards & Risk
Satellite precipitation products (SPPs) offer valuable data for large-scale drought analysis, although their accuracy varies with climate characteristics and data processing algorithms.
Abdessamad Hadri, Mariame Rachdane, Kaouthar Iazza, El Mahdi El Khalki, Ismaguil Hanadé Houmma, Mohamed Elmehdi Saidi   +5 more
doaj   +1 more source

Toward a methodological toolkit to mitigate the evaluator's dilemma: Assessing pastoralist rangelands management in Northern Tanzania

Conservation Science and Practice, Volume 7, Issue 11, November 2025.
We demonstrate how directed acyclic graphs and item response theory can help mitigate the evaluator's dilemma—that of identifying project impacts in contexts of limited funding and absence of an ideal study design. In our case study, using these methods, we find that the perceived quality of rangeland commons governance after project completion is ...
Monique Borgerhoff Mulder, Stefan Gehrig, Majory Silisyene, Susan James, Craig Leisher, Philipo Lukumay, Alphonce Blass Mallya, Nathaniel Robinson   +7 more
wiley   +1 more source

Evaluation of Satellite Precipitation Products and Their Potential Influence on Hydrological Modeling over the Ganzi River Basin of the Tibetan Plateau

Advances in Meteorology, 2017
In the last few years, satellite-based precipitation datasets are believed to be a potential source for forcing inputs in driving hydrological models, which are important especially in complex terrain areas or ungauged basins where ground gauges are ...
Alaa Alden Alazzy, Haishen Lü, Rensheng Chen, Abubaker B. Ali, Yonghua Zhu, Jianbin Su   +5 more
doaj   +1 more source