Evaluation of Spatial-Temporal Characteristics of Rainfall Variations over Thailand Inferred from Different Gridded Datasets DOI Open Access
Kritanai Torsri, Zhaohui Lin, Victor Nnamdi Dike

et al.

Water, Journal Year: 2022, Volume and Issue: 14(9), P. 1359 - 1359

Published: April 22, 2022

The fidelity of gridded rainfall datasets is important for the characterization features across globe. This study investigates climatology, interannual variability, and spatial-temporal variations seasonal over Thailand during 1970–2007 period using station data obtained from Thai Meteorological Department (TMDstn). In addition, performance three datasets, namely APHRODITE, CRU, GPCC, in reproducing these were intercompared further validated with results derived TMDstn. Results show that can reproduce spatial distribution TMDstn’s summer mean rainfall. However, large systematic underestimation seen while GPCC shows better agreement TMDstn as compared to others. winter, well captured by all data, especially upper part Thailand, they failed capture high intensity south eastern parts Thailand. Meanwhile, underestimated variability winter season Using EOF analysis, we demonstrate first two dominant modes rainfall, explained variance EOF-1. season, a good found between both pattern temporal variation. Overall, relatively climatology their year-to-year variation Furthermore, largely dependent on complexity topography. this indicates existence bias when Therefore, need users pay attention reliability trying identify possible mechanisms responsible

Language: Английский

Multi-source precipitation products assessment on drought monitoring across global major river basins DOI
Xushu Wu, Xin Feng,

Zhaoli Wang

et al.

Atmospheric Research, Journal Year: 2023, Volume and Issue: 295, P. 106982 - 106982

Published: Aug. 29, 2023

Language: Английский

Citations

42
Evaluation of global precipitation products for meteorological drought assessment with respect to IMD station datasets over India DOI
Ajay Gupta, Manoj Jain, Rajendra Pandey

et al.

Atmospheric Research, Journal Year: 2023, Volume and Issue: 297, P. 107104 - 107104

Published: Nov. 8, 2023

Language: Английский

Citations

23
Evaluation of ERA5 and CHIRPS rainfall estimates against observations across Ethiopia DOI
Jemal Seid Ahmed, Roberto Buizza, Matteo Dell’Acqua

et al.

Meteorology and Atmospheric Physics, Journal Year: 2024, Volume and Issue: 136(3)

Published: April 3, 2024

Language: Английский

Citations

13
Performances of reanalysis products in representing the temperature climatology of Ethiopia DOI
Tsegaye Tadesse,

Temesgen Gashaw Tarkegn,

Ram L. Ray

et al.

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(1)

Published: Jan. 1, 2025

Language: Английский

Citations

0
An Evaluation of the Capability of Global Meteorological Datasets to Capture Drought Events in Xinjiang DOI Creative Commons
Xu Yang, Zijiang Yang, Liang Zhang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 219 - 219

Published: Jan. 22, 2025

With the accelerating pace of global warming, imperative selecting robust, long-term drought monitoring tools is becoming increasingly pronounced. In this study, we computed Standardized Precipitation Evapotranspiration Index (SPEI) at both 3-month and 12-month temporal scales, utilizing observational data from 102 stations across Xinjiang gridded observations spanning China. Our objective encompassed an assessment efficacy three widely employed meteorological estimation datasets (GMEs) in context over period 1960–2020. Moreover, conducted in-depth examination into origins discrepancies observed within these GMEs. The findings our analysis revealed a notable discrepancy performance among GMEs, with CRU ERA5 exhibiting significantly superior compared to NCEP-NCAR. Specifically, (CC = 0.78, RMSE 0.39 northern Xinjiang) performed excellently capturing regional wet–dry fluctuations effectively occurrence droughts Xinjiang. 0.46, 0.67 southern demonstrates stronger capability reflect dynamics Furthermore, adequacy delineating spatial distribution severity major events varied different years occurrence. While displayed relatively accurate simulations significant Xinjiang, all GMEs exhibited substantial uncertainty when characterizing occurrences All overestimation SPEI before 1990, underestimation value thereafter, Discrepancies potential evapotranspiration (PET) predominantly drove disparities ERA5, whereas precipitation PET influenced primary cause differences stemmed reanalysis data’s inability accurately simulate surface wind speed trends. while captured temperature, precipitation, trends, numerical errors remained non-negligible. These offer crucial insights for dataset selection research risk management provide foundational support refinement enhancement datasets.

Language: Английский

Citations

0
Unravelling atmospheric factors associated with long rain precipitation variability in East Africa DOI
Tewelde Berihu, Wen Chen, Lin Wang

et al.

Climate Dynamics, Journal Year: 2025, Volume and Issue: 63(2)

Published: Feb. 1, 2025

Language: Английский

Citations

0
Necessity of incorporating realistic land surface parameters for trend analyses of potential evapotranspiration and drought DOI
Shanlei Sun, Yifang Zhang, Mengyuan Mu

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132938 - 132938

Published: Feb. 1, 2025

Language: Английский

Citations

0
Evaluating the accuracy of the global precipitation products: a time-series analysis in Poland DOI
Reza Sarli, Vahid Nasiri, Paweł Hawryło

et al.

Climate Dynamics, Journal Year: 2025, Volume and Issue: 63(3)

Published: March 1, 2025

Language: Английский

Citations

0
Evaluating rainfall forecasting capability of multi-source weather (MSWX) product over rainfall regimes of Ethiopia DOI Creative Commons

Endeg Aniley,

Addis Zemen,

Melkamu Belay

et al.

Geocarto International, Journal Year: 2025, Volume and Issue: 40(1)

Published: March 17, 2025

Language: Английский

Citations

0
Characteristics and atmospheric drivers of large‐scale agrometeorologically relevant dry spells in sub‐seasonal to seasonal timescales over Zimbabwe DOI Creative Commons
Gibbon I. T. Masukwedza, Victoria L. Boult,

Melissa Lazenby

et al.

Meteorological Applications, Journal Year: 2025, Volume and Issue: 32(2)

Published: March 1, 2025

Abstract This article pioneers a unique approach to examining generic dry spells, shifting focus from traditional rain‐free period analysis crop‐centric perspective that integrates an anticipatory lens inspired by Impact‐based Forecasting (IbF). Moving beyond analyses of periods, the evaluates these impactful within‐season large‐scale agrometeorologically relevant spells (LARDS) not number days with minimal or no rainfall but their impact—specifically, adequacy root‐zone soil moisture meet optimal requirements maize crops, as quantified through Water Requirement Satisfaction Index (WRSI). LARDS were identified in maize‐intensive growing regions Zimbabwe under two planting date scenarios: meteorology‐guided and uninformed. The research characterizes occurring at sub‐seasonal seasonal timescales over 36 years (1983–2018). Findings show meteorological guidance improves yields while neglecting it results lower yields. During LARDS, distinct northwest‐to‐southeast suppressed pattern emerges Zimbabwe, extending into neighbouring countries. is associated southwestward northeastward displacement Tropical Temperate Troughs (the regional primary system) relative country's location. Furthermore, exhibit overarching anticyclonic conditions impeding vertical cloud development notable changes key local mean climatic features influencing Southern Africa's weather. Specifically, Mozambique Channel Trough, Angola Low, Saint Helena High Mascarene weaken anomalously, Botswana strengthens during LARDS. Additionally, we demonstrate have propagation atmospheric signatures indicative being triggered upstream Rossby waves originating south coast South America.

Language: Английский

Citations

0