Results 91 to 100 of about 3,359 (227)

Assessing spatio-temporal rainfall variability in a tropical mountain area (Ethiopia) using NOAA's rainfall estimates [PDF]

, 2013
Seasonal and interannual variation in rainfall can cause massive economic loss for farmers and pastoralists, not only because of deficient total rainfall amounts but also because of long dry spells within the rainy season.
Frankl, Amaury, Haile, Mitiku, Jacob, Miro, Nyssen, Jan, Zwertvaegher, Ann   +4 more
core   +2 more sources

Physically Consistent Tropical Cyclone Monitoring From Infrared Satellite Imagery via Knowledge‐Guided Deep Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Tropical cyclones (TCs) pose significant threats to coastal communities and ecosystems underscoring the need for accurate and timely monitoring of their structure and intensity. Although satellite infrared (IR) imagery provides continuous global coverage, traditional methods for estimating TC parameters, such as center location, intensity, and
Chong Wang, Xiaofeng Li
wiley   +1 more source

Analisis Hubungan Kode-kode Spbk (Sistem Peringkat Bahaya Kebakaran) Dan Hotspot Dengan Kebakaran Hutan Dan Lahan Di Kalimantan Tengah [PDF]

, 2012
Land and forest fire is one of causes ofland degradation in Central Kalimantan. Remote sensing dataapplications, especially READY-ARL NOAA and CMORPH data, are benefit forthe available climate observation data. The objectives of this research are: (1) to
Ardiansyah, M. (Muhammad), Boer, R. (Rizaldi), Buono, A. (Agus), Prasasti, I. (Indah), Syaufina, L. (Lailan), Vetrita, Y. (Yenni)   +5 more
core   +3 more sources

Evaluation of multiple bias correction methods with different satellite rainfall products in the Main Beles Watershed, Upper Blue Nile (Abbay) Basin, Ethiopia

Journal of Water and Climate Change, 2023
This study investigates the utility of satellite-based rainfall products and the performance of bias correction methods in one of the sub-basins of the Upper Blue Nile Basin (Main Beles basin).
Asmare Belay Nigussie, Hailu Wondmageghu Tenfie, Fasikaw A. Zimale, Andualem Endalew, Genet Wudiye   +4 more
doaj   +1 more source

Comprehensive Evaluation of GPM-IMERG, CMORPH, and TMPA Precipitation Products with Gauged Rainfall over Mainland China

Advances in Meteorology, 2018
The comprehensive assessment of the Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement (IMERG) V05B is important for benchmarking the product’s continued improvement and future development.
Guanghua Wei, H. Lü, W. Crow, Yonghua Zhu, Jianqun Wang, Jianbing Su   +5 more
semanticscholar   +1 more source

Precipitation Biases Over the Southern Ocean in CMIP6, Reanalyses and Satellite‐Based Products

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 2, 28 January 2026.
Abstract A set of gridded, satellite‐based, precipitation products has been used to assess the performance of 46 Coupled Model Intercomparison Project (CMIP6) atmospheric‐only simulations and 5 reanalyses over the Southern Ocean (SO) on daily timescales, in terms of total precipitation and variance, frequency and intensity of wet days, and seasonal ...
Joaquín E. Blanco, Steven T. Siems, Lisa V. Alexander   +2 more
wiley   +1 more source

An evaluation of clouds and precipitation in convection-permitting forecasts for South Africa [PDF]

, 2019
Since 2016, the South African Weather Service (SAWS) has been running convective-scale simulations to assist with forecast operations across southern Africa.
Becker, E., Bodas-Salcedo, A., Boyd, D. F. A., Keat, W., Landman, S., Maidment, R. I., Pankiewicz, G., Stein, T. H. M., Webster, S.   +8 more
core   +1 more source

Multiscale Performance of Global Blended Satellite Precipitation Products Over Taiwan

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Strong land–ocean interactions and complex terrain have been challenging the accuracy of satellite precipitation products (SPPs). To recognize the error patterns of the mainstream SPPs over Taiwan, this study evaluates the temporal and spatial ...
Liping Wang, Haonan Chen, Zhe Li
doaj   +1 more source

Evaluation of satellite-based products for extreme rainfall estimations in the eastern coastal areas of China

Journal of Integrative Environmental Sciences, 2019
Remotely sensed rainfall plays an important role in providing efficient approaches for global or regional rainfall analysis. However, the accuracy of satellite-based products is mainly affected by the errors in sensor observation and retrieval algorithms,
Qin Jiang, Weiyue Li, Jiahong Wen, Zedong Fan, Yunnan Chen, Marco Scaioni, Jun Wang   +6 more
doaj   +1 more source

A Machine Learning Approach for Improving the Accuracy of Gridded Precipitation With Uncertainty Quantification

International Journal of Climatology, Volume 46, Issue 1, January 2026.
A novel machine learning (ML) approach combining extreme gradient boosting with quantile regression is used to create Vietnam Precipitation with Uncertainty (VNpu). Our VNpu dataset outperforms individual input products, benchmark interpolation methods and an existing gauge‐based product, particularly for heavy and extreme rainfall events. ABSTRACT The
Vinh Ngoc Tran, Manh‐Hung Le, Tam V. Nguyen, Trong Dieu Hien Le, Hung T. T. Nguyen, Hong Xuan Do, Binh Quang Nguyen, Doan Van Binh, Tu Hoang Le, Hung Thanh Pham, Hoang Tran, Thanh Duc Dang, John D. Bolten, Tan Phan‐Van, Thanh Ngo‐Duc, Venkataraman Lakshmi   +15 more
wiley   +1 more source