Drought monitoring performance of global precipitation products in three wet seasons in Ethiopia: Part I—Quasi‐objective examination

Meteorological Applications, Journal Year: 2023, Volume and Issue: 30(4)

Published: July 1, 2023

Abstract The need for representative and accurate climate data such as precipitation useful drought monitoring has been rapidly increasing among policymakers practitioners to tackle climate‐change‐induced events. Hence, the objective of this article is evaluate performance global products three wet seasons rainfall regions in Ethiopia. Drought indices were calculated using Standardized Precipitation Index (SPI) at 3‐month timescale Belg (March–May) Autumn (September–November) 4‐month Kiremt (June–September) seasons. Data evaluated their accuracy representing magnitude, geographical coverage frequency quasi‐objective (visual inspection), correlation analysis methods. gridded was compared against SPI value computed 126 reference stations Ethiopian satellite‐gauge merged data. showed different levels events regions. None outperformed occurrence all corresponding However, precipitation, Famine Early Warning Systems Network (FEWS NET) Land Assimilation System (FLDAS) Climate Hazard Group InfraRed with Stations (CHIRPS) are relatively better than others. study results generally indicate that no single outperform other complex spatiotemporal characteristics a mountainous region like

Language: Английский

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Evaluation and Error Analysis of Multi-Source Precipitation Datasets during Summer over the Tibetan Plateau

Atmosphere, Journal Year: 2024, Volume and Issue: 15(2), P. 165 - 165

Published: Jan. 27, 2024

Due to the scarcity of meteorological stations on Tibetan Plateau (TP), owing high altitude and harsh climate, studies often resort satellite, reanalysis, merged multi-source precipitation data. This necessitates an evaluation TP data applicability. Here, we assess following three high-resolution gridded datasets: China Meteorological Forcing Dataset (CMFD), European Center for Medium-Range Weather Forecasts Reanalysis V5-Land (ERA5-Land), Integrated Multi-satellitE Retrievals Global Precipitation Measurement (IMERG) during summers. Using observations from original 133 Administration as a reference, yielded conclusions: (1) In summer, 2000 2018, discrepancies among datasets were largest in western TP. The CMFD showed smallest deviation observations, annual summer was only overestimated by 12.3 mm. ERA5-Land had closest trend (0.41 mm/y) mean precipitation, whereas it highest (>150 mm). (2) reliability at monthly scales order: CMFD, ERA5-Land, IMERG. daily exhibited lower accuracy than (correlation coefficient CC 0.51, 0.38, 0.26, respectively). (3) assessments, referencing 114 new post-2016, notably capture capability scale (CC critical success index (CSI) decreased 0.18 0.1, These results can aid selecting appropriate refined climate predictions

Language: Английский

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Rainfall variability and its teleconnection with atmospheric circulation anomalies over southern and southeastern region, Ethiopia

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(7), P. 5819 - 5834

Published: April 25, 2024

Language: Английский

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Evaluation of five gridded precipitation products for estimating precipitation and drought over Yobe, Nigeria

Water Science & Technology Water Supply, Journal Year: 2024, Volume and Issue: 24(6), P. 2039 - 2054

Published: May 21, 2024

ABSTRACT Ground observations are often considered as the most reliable and precise source of precipitation data. However, long-term data from ground lacking in many parts world. Gridded products (GPPs) therefore have emerged crucial alternatives to observations, but it is essential assess their capability accurately replicate patterns. This study aims evaluate performance five GPPs, NASA POWER, TerraClimate, Climate Hazards Group Infrared Precipitation with Data (CHIRPS), GPCC, Research Unit (CRU), capturing drought patterns 1981 2021 Yobe, Nigeria. The results indicate that GPCC had good at both monthly annual scales, high correlation coefficients low error values. tends underestimate amounts certain areas. Other also exhibit satisfactory moderate correlations observations. Drought analysis indicates outperforms other standardised index-6 calculations, while POWER demonstrates inconsistencies particularly during early 1980s mid-2000s. In conclusion, preferable GPP for Yobe State

Language: Английский

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Evaluation of Spatial-Temporal Characteristics of Rainfall Variations over Thailand Inferred from Different Gridded Datasets

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

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