Results 71 to 80 of about 1,042 (180)

Response of Tropical Cyclone‐Related Precipitation During Boreal Summer Season Over East Asia to Pseudo‐Global‐Warming Climates

International Journal of Climatology, Volume 46, Issue 2, February 2026.
Difference of monthly mean TC‐related precipitation (mm) during JAS over the EA between the SSP245 run and the CTL run in (a) TC core precipitation (TCP) + TC remote precipitation (TRP), (b) TCP and (c) TRP. ABSTRACT Climate change has fundamentally altered tropical cyclone (TC) characteristics globally, with TC‐related precipitation emerging as a ...
Jiwei Wu, Ryuichi Kawamura, Takashi Mochizuki, Tetsuya Kawano   +3 more
wiley   +1 more source

Performance of the Standardized Precipitation Index Based on the TMPA and CMORPH Precipitation Products for Drought Monitoring in China

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
This paper evaluated the accuracy of multiple satellite-based precipitation products including the tropical rainfall measuring mission multisatellite precipitation analysis (TMPA) (TMPA 3B42RT and TMPA 3B42 version 7) and the Climate Prediction Center MORPHing technique (CMORPH) (CMORPH RAW and CMORPH BLD version 1.0) datasets and investigated the ...
Jing Lu, Li Jia 0001, Massimo Menenti, Yuping Yan, Chaolei Zheng, Jie Zhou 0003   +5 more
openaire   +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

Synoptic Background and Atmospheric Conditions for Hailstorms in Weining (Yunnan‐Guizhou Plateau): Multi‐Source Data Support and Machine Learning‐Based Parameter Importance Ranking

Earth and Space Science, Volume 13, Issue 2, February 2026.
Abstract Hailstorms over the Yunnan‐Guizhou Plateau cause significant losses in key cash crops such as tobacco, inflicting substantial economic impacts. Weining, an eastern plateau region prone to spring‐summer hailstorms, requires further research on hailstorm environmental conditions to improve forecasting and disaster mitigation.
Shiyi Wang, Yali Luo, Chong Wu, Yangruixue Chen, Qing Li, Hui Wang   +5 more
wiley   +1 more source

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

Evaluation of bias-adjusted satellite precipitation estimations for extreme flood events in Langat river basin, Malaysia

Hydrology Research, 2020
Even though satellite precipitation products have received an increasing amount of attention in hydrology and meteorology, their estimations are prone to bias.
Eugene Zhen Xiang Soo, Wan Zurina Wan Jaafar, Sai Hin Lai, Faridah Othman, Ahmed Elshafie, Tanvir Islam, Prashant Srivastava, Hazlina Salehan Othman Hadi   +7 more
doaj   +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

Reprocessed, Bias-Corrected CMORPH Global High-Resolution Precipitation Estimates from 1998

Journal of Hydrometeorology, 2017
Abstract The Climate Prediction Center (CPC) morphing technique (CMORPH) satellite precipitation estimates are reprocessed and bias corrected on an 8 km × 8 km grid over the globe (60°S–60°N) and in a 30-min temporal resolution for an 18-yr period from January 1998 to the present to form a climate data record (CDR) of high-resolution ...
Pingping Xie, Robert Joyce, Shaorong Wu, Soo-Hyun Yoo, Yelena Yarosh, Fengying Sun, Roger Lin   +6 more
openaire   +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

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