Development and evaluation of the modified and standardized rainfall anomaly indices for extreme variability analysis

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124160 - 124160

Published: Jan. 25, 2025

Language: Английский

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Exploring Spatio-Temporal Precipitation Variations in Istanbul: Trends and Patterns from Five Stations across Two Continents

Atmosphere, Journal Year: 2024, Volume and Issue: 15(5), P. 539 - 539

Published: April 28, 2024

This study aims to reveal the long-term station-based characteristics of precipitation in Istanbul, a mega city located on continents Europe and Asia, with complex topography coastline along Marmara Black Seas. Using data from five different stations, three European continent two Asian continent, measurement periods ranging 72 93 years, wet dry days have been identified, statistics conditions during warm cold seasons generated, categorization based intensities has performed, analyses conducted using extreme indices. At stations northern part city, higher annual total observed compared those south. A similar situation applies number days. While season, day counts are nearly same across all this condition exhibits significant differences favor season. Apart conditions, “moderate” is most frequently type stations. However, “extreme” events occur significantly more often (6%) season (2%). Long-term anomalies terms totals shown similarity between north south, which also longitudinally close Despite longer duration stronger temperature gradients, rainfall frequent primarily due thunderstorm activity. trend revealed limited trends intensity categories indices, highlights importance comprehensive examination both regional levels, shedding light potential implications for climate change. Lastly, inter-station correlation amounts considerably

Language: Английский

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Evaluation of GPM IMERG Early, Late, and Final Run in Representing Extreme Rainfall Indices in Southwestern Iran

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(15), P. 2779 - 2779

Published: July 30, 2024

The growing concerns about floods have highlighted the need for accurate and detailed precipitation data as extreme occurrences can lead to catastrophic floods, resulting in significant economic losses casualties. Integrated Multi-satellitE Retrievals Global Precipitation Measurement (GPM IMERG) is a commonly used high-resolution gridded dataset recognized trustworthy alternative sources of data. aim this study comprehensively evaluate performance GPM IMERG Early (IMERG-E), Late (IMERG-L), Final Run (IMERG-F) estimation their capability detecting rainfall indices over southwestern Iran during 2001–2020. Asfezari data, which are developed using dense ground-based observation, were utilized reference dataset. findings indicate that IMERG-F performs reasonably well capturing many events (defined by various indices). All three products showed better fixed non-threshold across region. also revealed both IMERG-E IMERG-L problems elevated areas showing values overestimations. Examining effect land cover type on accuracy suggests show large highly unrealistic overestimations inland water bodies permanent wetlands. results current highlight potential valuable source monitoring

Language: Английский

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Comparison of GPM IMERG Version 06 Final Run Products and Its Latest Version 07 Precipitation Products across Scales: Similarities, Differences and Improvements

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(23), P. 5622 - 5622

Published: Dec. 4, 2023

Precipitation is an essential element in earth system research, which greatly benefits from the emergence of Satellite Products (SPPs). Therefore, assessment accuracy SPPs necessary both scientifically and practically. The Integrated Multi-Satellite Retrievals for GPM (IMERG) one most widely used scientific community. However, there a lack comprehensive evaluation performance newly released IMERG Version 07, determining its effectiveness reliability precipitation estimation. In this study, we compare V07 Final Run (V07_FR) with predecessor V06_FR across scales January 2016 to December 2020 over globe (cross-compare their similarities differences) focused study on mainland China (validate against 2481 rain gauges). results show that: (1) Globally, annual mean V07_FR increases 2.2% compared land but decreases 5.8% ocean. two further exhibit great differences as indicated by Critical Success Index (CSI = 0.64) Root Mean Squared Difference (RMSD 3.42 mm/day) V07_FR. (2) Over China, detect comparable annually. Probability Detection (POD) improves 5.0%, RMSD 3.7% when analyzed grid cells. Further, POD (+0%~+6.1%) CSI (+0%~+8.8%) increase (−11.1%~0%) regardless sub-regions. (3) Under extreme rainfall rates, measures 4.5% lower rates than China. But tends more accurate at daily event scales. These can be value SPP development, application climatological hydrological modeling, risk analysis.

Language: Английский

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Unfolding extreme rainfall events characteristics over the North-West Himalayan region based on recent GPM-IMERGV7 remotely sensed observations

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132823 - 132823

Published: Feb. 1, 2025

Language: Английский

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Regional joint regulation mode for flood control in plain cities: addressing extensive heavy rainfall

Water Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Establishing a coordinated flood storage and drainage joint regulation mode for various cities can effectively mitigate the disaster risk associated with extensive heavy rainfall. This study introduces novel concept of urban agglomeration based on watershed features spatial topological norms. From perspective agglomeration, three new modes are proposed to guide in plain cities: (1) storing before discharging, (2) discharging storing, (3) while storing. The aim facilitate coordination among neighboring an enhance temporal drainage. Multi-layer tree rules established allocate characteristics risk, storage, performance. fact case proves that has certain practical applicability. There 35, 151, 30 use DS, DWS, SD modes, respectively, out 221 total. Most agglomerations employ at least two different modes. multi-layer allocation presented this provide theoretical guidelines management across regions.

Language: Английский

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Bayesian Model Averaging for Satellite Precipitation Data Fusion: From Accuracy Estimation to Runoff Simulation

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(7), P. 1154 - 1154

Published: March 25, 2025

Precipitation plays a vital role in the hydrological cycle, directly affecting water resource management and influencing flood drought risk prediction. This study proposes Bayesian Model Averaging (BMA) framework to integrate multiple precipitation datasets. The enhances estimation accuracy for simulations. BMA synthesizes four products—Climate Hazards Group Infrared with Station (CHIRPS), fifth-generation ECMWF Atmospheric Reanalysis (ERA5), Global Satellite Mapping of (GSMaP), Integrated Multi-satellitE Retrievals (IMERG)—over China’s Ganjiang River Basin from 2008 2020. We evaluated merged dataset’s performance against its constituent datasets Multi-Source Weighted-Ensemble (MSWEP) at daily, monthly, seasonal scales. Evaluation metrics included correlation coefficient (CC), root mean square error (RMSE), Kling–Gupta efficiency (KGE). Variable Infiltration Capacity (VIC) model was further applied assess how these affect runoff results indicate that BMA-merged dataset substantially improves when compared individual inputs. product achieved optimal daily (CC = 0.72, KGE 0.70) showed superior skill, notably reducing biases autumn winter. In applications, BMA-driven VIC effectively replicated observed patterns, demonstrating efficacy regional long-term predictions. highlights BMA’s potential optimizing inputs, providing critical insights sustainable reduction complex basins.

Language: Английский

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Validating the IMERG Remote Sensing Precipitation Data for Extremes Analysis Using the New Hybrid Depth Duration Frequency Model

Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 101547 - 101547

Published: April 1, 2025

Language: Английский

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Evaluation of Precipitation Frequency and Intensity as Estimated by the GPM IMERG Precipitation Product at Daily and Hourly Scales over the Tibetan Plateau

Atmosphere, Journal Year: 2023, Volume and Issue: 14(11), P. 1653 - 1653

Published: Nov. 3, 2023

The IMERG V06 hourly rainfall product at daily and scales was evaluated during the warm season (May to September) from 2015 2020 using 651 high-quality rain-gauge stations over Tibetan Plateau (TP). Based on observed precipitation, four categories were classified: light (0–12 mm·d−1), moderate (12–20.1 torrential (20.1–32.2 extreme (>32.2 mm·d−1). Precipitation frequency intensity calculated further validate accuracy suitability of estimated-precipitation product. At scale, underestimated number days with less than rainfall, but overestimated rainfall. estimated main characteristics precipitation different amount levels better intensity, its best estimate level, highest correlation coefficient (0.69) lowest root mean square error (0.17). mainly between early morning midday (the average deviation 0.019 mm·h−1) it afternoon late night 0.047 mm·h−1). evening, which means that this analysis shows more hours observation intensity. These results our understanding products TP improve retrieval algorithm apply corresponding regions complicated topography.

Language: Английский

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Comprehensive assessment of five near-real-time satellite precipitation products in the Lower Yangtze River Basin and the Lixiahe region, China: Dual perspectives from time series and extreme events

Atmospheric Research, Journal Year: 2024, Volume and Issue: 308, P. 107520 - 107520

Published: June 8, 2024

Language: Английский

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