International Journal of Climatology最新文献

{"title":"Characterising Local Flood-Inducing Heavy Rainfall Through Daily Weather Types and Large-Scale Climatic Patterns: Aotearoa New Zealand Study Case","authors":"Andrea Pozo,&nbsp;Matthew Wilson,&nbsp;Marwan Katurji,&nbsp;Laura Cagigal,&nbsp;Fernando J. Méndez,&nbsp;Emily Lane","doi":"10.1002/joc.8762","DOIUrl":"https://doi.org/10.1002/joc.8762","url":null,"abstract":"<p>Flooding is the most frequent natural hazard in Aotearoa New Zealand and the second most costly after earthquakes. It will change in frequency and intensity, becoming more extreme as climate change impacts are realised. The main inundation driver is heavy rainfall. In this study, flood-inducing heavy rainfall is characterised locally by applying synoptic climatological techniques, using the study case of Aotearoa New Zealand. Extending on previous work in the field, a new set of 49 daily weather types (DWTs) is proposed for New Zealand, based on mean sea level pressure (MLSP) and 500 hPa geopotential height (500GH) (predictor variables). The role of the DWTs, the large-scale climatic patterns (LSCPs) known to influence rainfall variability, and the wind conditions (as an additional explanatory variable since they play an essential role in the development of these events) as heavy rainfall and flooding (predictand variables) drivers is investigated using the Wairewa catchment (Little River, Canterbury) as the study site. Heavy rainfall is represented through its temporal and spatial features, based on two rainfall datasets (a rain gauge and a gridded product obtained by the Weather Research and Forecasting (WRF) numerical model). Useful relationships are found between the predictor and the predictand variables. Also, the predictor variables' temporal variability (interannual and intra-annual variability, seasonality) plays a key role, translating to the temporal variability of heavy rainfall and flooding. The proposed synoptic climatological approach provides qualitative and quantitative value, displaying the range of weather and climatic configurations leading to different types of storms and flooding and helping in their identification and understanding.</p>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 5","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joc.8762","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Precipitation Structure and Convective Intensity Over South-East South Asia During Active and Break Spells of the Indian Summer Monsoon Using TRMM, GPM, Megha-Tropiques Satellites and Reanalysis Data","authors":"Shailendra Kumar","doi":"10.1002/joc.8758","DOIUrl":"https://doi.org/10.1002/joc.8758","url":null,"abstract":"<div>\u0000 \u0000 <p>In this study, we investigated the precipitation structure (PS) and convective intensity (CI) of precipitation features (PFs) using the multiple sensors onboard on TRMM and GPM for active and break spells (ACT and BRK-Ss) during Indian summer monsoon seasons (1999-2021). Microwave-based observations showed that during ACT-Ss, a higher frequency of PFs is observed over the Himalayan Foothills and northern western Ghats (WGs). Eastern Himalaya Foothills (EHFs), southern India, the Indian Equatorial Ocean, and the Arabian Sea (AS) have a higher frequency of PFs during BRK-Ss. The major differences in PS during ACT and BRK-Ss are observed over WGs and southern-western Himalayan Foothills (S-WHFs). Infrared-based measurements showed that the Bay of Bengal (BOB) and S-WHFs have the deepest Cumulonimbus clouds (minimum brightness temperature) during both ACT and BRK-Ss, but the numbers over BOB are twice as high compared with S-WHFs. S-WHFs have the strongest CI (40 dBZ radar reflectivity has the highest altitude) and precipitation tops (20 dBZ radar reflectivity has the highest altitude) during ACT-Ss. WGs and the Indo-Gangetic Plain (IGP) consist of intense and larger PFs during the BRK-Ss. PFs with the highest horizontal extension, and, which are contributing to higher surface rainfall observed over north-central India and BOB during ACT Ss, but during BRK-Ss, they shifted to EHFs and the Burma-Myanmar coast. Lightning activity is higher at S-WHFs and EHFs during ACT-Ss but shifted at the eastern longitudes of EHFs and southern India during BRK-Ss. Relative humidity (RH) profiles are used to investigate the moist and dry atmospheric conditions during ACT and BRK-Ss. Megha-Tropiques-based sounders showed a higher fraction of RH vertical profiles above mid-troposphere (above 500 hPa) over BOB and S-WHFs during ACT-Ss. WGs and IGP have a higher fraction of RH vertical profiles above the mid-troposphere during BRK-Ss. The balance between RH and vertical velocity is critical in deciding the PS and CI over the selected areas during ACT and BRK-Ss. An updraft with higher RH is observed over BOB, IGP, Central-India, and S-WHF during ACT-Ss. The opposite characteristics are observed over WGs, and a higher RH with a higher updraft is observed during BRK-Ss. The RH-vertical velocity joint histogram shows a broad spectrum width during ACT-Ss compared with BRK-Ss. It shows that even the lower RH can be lifted at higher altitudes due to updraft during the ACT-Ss compared with BRK-Ss. A separate analysis of TRMM and GPM shows that in the last decade, there has been an increase in the deep convective systems during the BRK-Ss, especially over the WGs and Southern India, the Tropical Ocean, and must be investigated in the future.</p>\u0000 </div>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 5","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Leading Circulation Patterns of Meiyu Onset in the Yangtze–Huaihe River Valley and Its Relationship With the North Atlantic Sea Surface Temperature Anomalies","authors":"Haoran Yin,&nbsp;Suxiang Yao,&nbsp;Tianle Sun","doi":"10.1002/joc.8769","DOIUrl":"https://doi.org/10.1002/joc.8769","url":null,"abstract":"<div>\u0000 \u0000 <p>The Meiyu rainfall anomaly is closely associated with the early or late onset of Meiyu, and accurately predicting its onset is crucial for disaster prevention and mitigation. This study examines the diverse circulation patterns governing the Meiyu onset in the Yangtze–Huaihe River Valley and elucidates its underlying mechanism through statistical diagnosis and numerical simulation. The findings indicate that over the recent 31 years, three distinct circulation patterns of the Meiyu onset (referred to as MO-I, MO-II and MO-III) with different blocking situations in mid-high latitude are observed. The Rossby wave trains connect the weather systems in the mid-high latitude and subtropical regions, leading to the coevolution of the Western Pacific Subtropical High (WPSH), the South Asian High (SAH), the East Asian Subtropical Westerly Jet (EASWJ) and the Ural blocking pattern. Furtherly, the sea surface temperature (SST) anomalies in the North Atlantic prior to the Meiyu onset can stimulate the key Rossby wave trains that pass through the Ural Mountains and connect with the East Asian subtropical zone. In MO-I, a dipole SST pattern characterised by positive anomalies in southeast Greenland and negative anomalies in the mid-latitude West Atlantic induces negative geopotential anomalies over the Ural Mountains. Concurrently, the WPSH and the SAH exhibit weakened intensities compared to their climatological states, resulting in a delayed onset date relative to the other two types. Conversely, SST anomalies of MO-III exhibit an opposite pattern to MO-I, and the concurrent intensified Ural Blocking High, WPSH and SAH facilitate the earliest Meiyu onset. For MO-II, an antiphase distribution of SST anomalies in the mid-latitude West Atlantic and southern Iceland stimulates two wave trains along the polar front jet and the EASWJ, producing a circulation similar to the climatological state of the Meiyu onset. This research can serve as a foundation for Meiyu prediction and monitoring.</p>\u0000 </div>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 5","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interplay Among Recent Trends in Climate Extremes, Vegetation Phenology, and Crop Production in the Southern Mediterranean Region","authors":"Behnam Mirgol,&nbsp;Bastien Dieppois,&nbsp;Jessica Northey,&nbsp;Lionel Jarlan,&nbsp;Saïd Khabba,&nbsp;Michel Le Page,&nbsp;Jonathan Eden,&nbsp;Job Ekolu,&nbsp;Ikram El Hazdour,&nbsp;Gil Mahe","doi":"10.1002/joc.8768","DOIUrl":"https://doi.org/10.1002/joc.8768","url":null,"abstract":"<p>The southern Mediterranean region is among the most vulnerable areas to climate change globally. However, in this region, there is a need to further understand the complex interactions between climate, vegetation, and crops to fully assess the combined impacts of extreme climate events on the agricultural sector. Using daily Normalised Difference Vegetation Index (NDVI) data, we evaluated trends across 15 vegetation phenology indicators between 1982 and 2019 and analysed their links to land-use land-cover changes. We found significant increases in the maximum value of NDVI (MaxV), length of growing seasons (LengthGS), and duration from crop emergence to anthesis (BMaxT), particularly within croplands. These changes positively correlated with regional crop production, especially in coastal and interior plains where croplands and forests are expanding. Conversely, southern areas bordering the Sahara showed declining MaxV and an expansion of sparsely vegetated areas. We then conducted a comprehensive seasonal trend analysis of climatic stresses and discussed how they align with recent trends in key phenological indicators. Coastal and interior plains experienced wetter conditions throughout the year, ensuring sufficient water during the growing season. Meanwhile, areas bordering the Sahara had wetter autumns and winters but drier springs and summers. Additionally, the region experienced warmer conditions from spring to autumn, with fewer cold wave events. Analysing the frequency and duration of compound extreme events, we observed a trend toward more light to moderate dry/hot days in spring and autumn and light to extreme wet/hot days from summer to autumn. These conditions are significantly correlated with increased MaxV, improved crop productivity, and extended LengthGS and BMaxT. These findings may serve as early indicators of how future climate changes could impact crop production, highlighting regional risks and opportunities to guide informed decision-making and development of adaptive strategies in the southern Mediterranean region.</p>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 5","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joc.8768","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “Remote Sensing Data Assimilation to Improve the Seasonal Snow Cover Simulations Over the Heihe River Basin, Northwest China”","authors":"","doi":"10.1002/joc.8771","DOIUrl":"https://doi.org/10.1002/joc.8771","url":null,"abstract":"<p>\u0000 <span>Deng, G.</span>, <span>Liu, X.</span>, <span>Shen, Q.</span>, <span>Zhang, T.</span>, <span>Chen, Q.</span> and <span>Tang, Z.</span> (<span>2024</span>), <span>Remote Sensing Data Assimilation to Improve the Seasonal Snow Cover Simulations Over the Heihe River Basin, Northwest China</span>. <i>Int J Climatol</i>, <span>44</span>: <span>5621</span>–<span>5640</span>. https://doi.org/10.1002/joc.8656\u0000 </p><p>In the original article, the utilization of the MuSA v2.0 snow data assimilation tool as a foundational framework was not properly attributed. With permission and authorization from the MuSA development team, we would like to correct this oversight by acknowledging the tool and its original publication: “<i>Alonso- González, E., K. Aalstad, M. W. Baba, J. Revuelto, J. I. López-Moreno, J. Fiddes, R. Essery, and S. Gascoin. 2022. “The Multiple Snow Data Assimilation System (MuSA v1.0).” Geoscientific Model Development 15, no. 24: 9127–9155</i>. https://doi.org/10.5194/gmd-15-9127-2022”. We sincerely apologize for the oversight and any inconvenience caused, and express our gratitude to Dr. Esteban Alonso-González and his team for their invaluable support throughout the study.</p><p>We sincerely apologize once again for this oversight and any inconvenience it may have caused.</p>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 6","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joc.8771","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143905375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deciphering the Relationship Between Moisture Flux and Monsoon Extreme Rainfall Over the West Coast of India","authors":"Tesna Maria,&nbsp;Ajil Kottayil,&nbsp;Prince Xavier,&nbsp;Viju O. John","doi":"10.1002/joc.8756","DOIUrl":"https://doi.org/10.1002/joc.8756","url":null,"abstract":"<div>\u0000 \u0000 <p>The west coast of India has recently been experiencing torrential monsoon rains, a trend that studies indicate is likely to continue under future warming scenarios. This study investigates the link between moisture flux and extreme rainfall over the west coast, using observational and reanalysis datasets for the monsoon seasons (June to September) from 1990 to 2023. The analysis shows that, over the Indian subcontinent, rainfall along the west coast is primarily influenced by large-scale moisture flux from the Arabian Sea. By decomposing the vertically integrated moisture flux into dynamic and thermodynamic components, this study observes that the thermodynamic component of moisture flux exhibits an increasing trend over the southwest coast, while this increasing trend is more prominent for the dynamic component over the northwest coast. Extreme rainfall over the southwest coast is increasing at a rate of 0.23 mm per season, attributed primarily to the increase in the thermodynamic component of moisture flux. It is observed that the rate of sea surface temperature (SST) increase over the Arabian Sea is faster than over the Bay of Bengal, with the average SST over the southeast Arabian Sea exceeding 28°C in recent years. Observations indicate that warming over the southeast Arabian Sea is strongly coupled with moisture accumulation observed over the southwest coast. This study provides strong evidence of a link between moisture transport, extreme rainfall and SST, identifying the southwest coast as a region vulnerable to climate change. Over the northwest coast, the incidence of extreme rainfall is associated with the strengthening of dynamic processes, and the mean monsoon rainfall in this region is increasing in alignment with the rising dynamic component of moisture flux.</p>\u0000 </div>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 5","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Combined and Isolated Impacts of El Niño and Positive Indian Ocean Dipole Events on South American Precipitation During Austral Winter and Spring Depending on the Atlantic Multidecadal Oscillation Phases","authors":"Itamara P. Souza,&nbsp;Rita V. Andreoli,&nbsp;Mary T. Kayano,&nbsp;Jean A. C. Costa,&nbsp;Leonardo Mamani,&nbsp;Rodrigo A. F. Souza,&nbsp;Wilmar L. Cerón","doi":"10.1002/joc.8765","DOIUrl":"https://doi.org/10.1002/joc.8765","url":null,"abstract":"<div>\u0000 \u0000 <p>The isolated/combined impacts of the positive Indian Ocean Dipole (pIOD) and El Niño (EN) events on precipitation in South America (SA) were investigated during austral winter and spring for the 1901–2012 period, considering both Atlantic Multidecadal Oscillation (AMO) phases. Under the warm phase (WAMO), EN events are well characterised in winter and, in spring, are accompanied by anomalous warming of the Tropical North Atlantic (TNA); thus, variations in the Walker circulation and the northward shifted Intertropical Convergence Zone (ITCZ) reduce precipitation over northern SA. In the cold AMO phase (CAMO), EN events are weak in winter. At the same time, an intense cooling in the equatorial North Atlantic, favoured by the CAMO, enhances moisture transport from the Amazon to central and southeastern Brazil, increasing precipitation in the South Atlantic Convergence Zone region. As EN develops in spring, the anticyclone off the east coast of SA associated with the Pacific-South American (PSA) pattern decreases (increases) precipitation in central (southeastern) SA. The pIOD events predominantly occur during WAMO phase, when warming in the TNA is favoured by AMO. In winter, the moisture transport to northern SA is weakened, and the ITCZ remains northward shifted, inhibiting the precipitation over northeastern Brazil and southeastern Amazon. In spring, pIOD intensified ascending motions in equatorial Atlantic, increasing precipitation over northeastern Brazil. A wave train from the Indian Ocean strengthens the South Atlantic subtropical high, suppressing precipitation in central and eastern SA. EN-pIOD events are well established in both AMO phases, though the sea surface temperature anomalies in the TNA depend on the AMO. During WAMO, reduced precipitation in western Amazon and northeastern SA is influenced by the Walker circulation, while in CAMO, TNA cooling enhances moisture transport from the Amazon into southeastern SA, where the PSA pattern and wave train from the Indian Ocean increase precipitation.</p>\u0000 </div>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 5","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping the Research Landscape: A Comprehensive Bibliometric Review of Global Warming and Human Health","authors":"Qingyong Zheng,&nbsp;Jianguo Xu,&nbsp;Ming Liu,&nbsp;Kexin Ji,&nbsp;Yu Zhang,&nbsp;Songlin Wu,&nbsp;Tengfei Li,&nbsp;Kaisen Yuan,&nbsp;Zhichao Ma,&nbsp;Zijian Ma,&nbsp;Jinhui Tian,&nbsp;Jiang Li","doi":"10.1002/joc.8761","DOIUrl":"https://doi.org/10.1002/joc.8761","url":null,"abstract":"<div>\u0000 \u0000 <p>Human health is increasingly threatened by global warming, necessitating a thorough understanding of research progress in this critical area to inform future studies. The data were analysed using Microsoft Excel 2021, and visualisations were created with GraphPad, VOSviewer and R-Studio (Bibliometrix). These tools were used to generate graphs and network visualisations illustrating author and country collaborations, journal article distributions, hotspot clustering and future trend predictions. Our analysis revealed a substantial increase in publications in recent years, with intensified research and collaboration observed across Asia, Europe, North America and Oceania, particularly in the United States. Various high-impact journals have made meaningful contributions to raising awareness in this field, emphasises the multifaceted impacts of global warming on public health and societal activities, while also exploring adaptive measures being implemented in response to these changes. As the world continues to grapple with the global pandemic, further research is likely to spotlight related issues, with heightened interest anticipated. The evidence of global warming's impact on human health is becoming increasingly evident, underscoring the need for global cooperation to mitigate its effects and promote public health. This study provides a foundation for researchers and policymakers, highlighting the significance of addressing global warming's implications for human well-being. By fostering international collaboration, we can collectively strive toward sustainable strategies to combat global warming and safeguard public health.</p>\u0000 </div>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 5","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification and Variability Analysis of New Homogeneous Summer Monsoon Rainfall Regions Over India by Using K-Means Clustering Technique","authors":"P. P. Sreekala,&nbsp;C. A. Babu","doi":"10.1002/joc.8759","DOIUrl":"https://doi.org/10.1002/joc.8759","url":null,"abstract":"<div>\u0000 \u0000 <p>The identification of new homogeneous Indian summer monsoon rainfall regions is important for both research and operational forecasting purposes. The homogeneous rainfall regions used by the India Meteorological Department include areas that are actually dissimilar in terms of both the amount of rainfall and its variability. In the present study, we have identified three primary clusters of homogenous summer monsoon rainfall zones (low, medium and high rainfall) of India by using K-means clustering technique and Calinski–Harabasz (CH) index. The identified clusters are again subdivided based on the distance between the clusters into six homogenous rainfall zones such as Southeast India (SI), West India (WI), Central India (CI), West Coast of India (WC), Northeast India1&amp;2 (NE1 &amp; NE2). Summer monsoon rainfall exhibit a positive trend over the western and southern region of India (SI, WC, and WI) while the eastern part of India (CI, NE1 and NE2) exhibit a negative trend. The increased sea surface temperature of tropical north Atlantic during May is conducive for the enhanced summer monsoon rainfall activity over low rainfall zone (Southeast India and West India). Tropical North Atlantic SST during May is related with the subsequent warming of Indo Pacific Ocean and cooling of Central Pacific Ocean, which induces southeasterlies towards Indian region and strengthen the rainfall activity over SI and WI. The position and intensity of the upper-level circulations have profound impact on the interannual variability of rainfall over different homogenous regions. Above-normal rainfall over SI and WI (CI and WC) is enhanced by the upper-level anticyclonic (cyclonic) circulation in Bay of Bengal (West Asia), which extends north westward (south eastward) to the Indian landmass. Indian Ocean warming during May is associated with above (below) normal rainfall over NE2 region (the eastern part of CI). Southern Ocean SST during May is significantly correlated with the rainfall over southwest coast of India, which is also indicated by the positive correlation between April southern Annular Mode and south west coast rainfall. Sea surface temperature during May in different ocean basins can be used as the potential predictors for improving the long-range forecast of seasonal rainfall over newly identified homogenous rainfall zones.</p>\u0000 </div>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 5","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Rainfall Variability Over Major River Basins of India Using Multi Temporal Satellite Data Products","authors":"Saurabh Choubey,&nbsp;Prashant Kumar,&nbsp;Shard Chander,&nbsp;Rina Kumari","doi":"10.1002/joc.8757","DOIUrl":"https://doi.org/10.1002/joc.8757","url":null,"abstract":"<div>\u0000 \u0000 <p>High resolution remotely sensed rainfall data is indispensable to accurately monitor rainfall variability at a river basin scale under climate change. The aim of the study is to assess the change in rainfall climatology and determine the performance of three GPM rainfall products (IMERG Final_Run, GSMaP_Gauge and recently developed GSMaP_ISRO) against in situ observation over major Indian River basins for the monsoon season rainfall during 2000–2020. The analysis provides valuable insights into the issues in the rainfall products and their performance under varying rainfall intensity (low, moderate and heavy) and orography. Results indicate that mean monsoon rainfall is better represented in GSMaP_ISRO than IMERG Final_Run and GSMaP_Gauge estimates. GSMaP_ISRO outperformed IMERG Final_Run and GSMaP_Gauge with smaller root-mean-square error and higher correlation coefficient. It was observed that the performance of GPM rainfall is influenced by rainfall intensity and terrain height of basins. In particular, for high rainfall occurrence, the Brahmaputra and Barak basins in northeast India exhibited large uncertainties in IMERG Final_Run and GSMaP_Gauge products. The statistical evaluation of different rainfall scores (POD, FAR and CSI) suggested that the GSMaP_ISRO rainfall has significant skill over Indian river basins. A significant improvement is observed over Brahmaputra (RMSD = 34.46, CC = 0.92, FAR = 0.26), Barak and others (RMSD = 65.75, CC = 0.95, FAR = 0.29) and Cauvery basin (RMSD = 23.1, CC = 0.8, FAR = 0.15) for GSMaP_ISRO estimates. These findings provide valuable information on the accuracy of GPM rainfall necessary for hydro-meteorological applications.</p>\u0000 </div>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 5","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}