Results 61 to 70 of about 120,670 (167)

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

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

Prediksi Curah Hujan Menggunakan Data Hujan Satelit CHIRPS dan PERSIANN-CDR di DAS Bedadung Kabupaten Jember

Jurnal Teknik Sumber Daya Air, 2022
Curah hujan merupakan data penting dalam pemodelan hidrologi, pengendalian daya air, perencanaan alokasi air dan pemanfaatan sumber daya air lainnya. Namun, dalam operasionalnya, sering dijumpai data curah hujan yang tidak lengkap karena kerusakan alat atau faktor lainnya.
Angel Novita Tri lara Atica, Gusfan Halik, null Saifurridzal   +2 more
openaire   +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

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

Analisis Hubungan Data Hujan Satelit PERSIANN-CDR & TRMM 3B42 dengan Data Hujan BMKG pada Stasiun Hujan di Wilayah Sumba Barat

, 2023
Studi ini dilakukan untuk mengetahui bagaimana korelasi antara data hujan BMKG dengan data satelit PERSIANN-CDR & TRMM 3B42 pada stasiun Waikabubak dan Kabukarudi periode tahun 2009-2019.
TUPAMAHU, James Isac
core  

Assessing the Performance and Limitations of PERSIANN-CDR: A Case Study in the São Francisco River Basin

Revista de Geociências do Nordeste
This study investigates the performance and limitations of the PERSIANN-CDR precipitation estimates dataset in comparison to strategically selected rain gauge stations within the São Francisco River Basin. The study covers the period from January 1989 to December 2018. The results reveal distinct patterns in the performance of PERSIANN-CDR.
Erick Venicius Schinke Vasconcelos de Oliveira, José Haldo Bomfim Damasceno, Fabio Farias Pereira, Sandro Correia de Holanda   +3 more
openaire   +1 more source

Evaluation of Machine Learning Models to Improve Daily Precipitation Estimations From Orbital Remote Sensing and Reanalysis Data

International Journal of Climatology, Volume 45, Issue 12, October 2025.
Combined machine learning methods improve satellite‐based data (IMERG) in Brazil to produce accurate daily precipitation estimations in Brazil (IMERG BraMaL‐D) without dependence on ground‐based data. Calibration on the accumulated daily scale for a monthly scale is more efficient than monthly calibration.
Emerson da Silva Freitas, Victor Hugo Rabelo Coelho, Guillaume Francis Bertrand, Filipe Carvalho Lemos, Cristiano das Neves Almeida   +4 more
wiley   +1 more source

Global Increase of Tropical Cyclone Precipitation Rate Toward Coasts

Geophysical Research Letters, Volume 52, Issue 17, 16 September 2025.
Abstract Tropical cyclones (TCs) induced precipitation poses a critical threat to coastal regions. In the context of global warming and humidification, it remains to be clarified whether coastal exposure to TC‐induced precipitation has a detectable response. Based on multi‐source data sets in the past four decades, this study investigates the coastward
Weiqing Qi, Bin Yong, Elizabeth A. Ritchie, J. Scott Tyo, Ralf Toumi   +4 more
wiley   +1 more source

Analysis of hydrological changes and flood increase in Niamey based on the PERSIANN-CDR satellite rainfall estimate and hydrological simulations over the 1983–2013 period [PDF]

Proceedings of the International Association of Hydrological Sciences, 2015
Abstract. A dramatic increase in the frequency and intensity of floods due to the Niger River in the city of Niamey (Niger) has been observed in the last decade. Previous studies highlighted the role of the land use changes on the flood increase since 1970s.
Casse, C., Gosset, Marielle
openaire   +4 more sources