Journal of Hydrometeorology最新文献

Understanding the source and evolution of precipitation stable isotope composition across O‘ahu, Hawai‘i, USA 了解美国夏威夷奥阿胡降水稳定同位素组成的来源和演变过程

Journal of Hydrometeorology Pub Date : 2024-07-24 DOI: 10.1175/jhm-d-23-0193.1

Theodore Brennis, N. Lautze, Robert Whittier, Aurora Kagawa-Viviani, Han Tseng, Giuseppe Torri, Donald Thomas

{"title":"Understanding the source and evolution of precipitation stable isotope composition across O‘ahu, Hawai‘i, USA","authors":"Theodore Brennis, N. Lautze, Robert Whittier, Aurora Kagawa-Viviani, Han Tseng, Giuseppe Torri, Donald Thomas","doi":"10.1175/jhm-d-23-0193.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0193.1","url":null,"abstract":"\u0000Pacific Islands present unique challenges for water resource management due to their environmental vulnerability, dynamic climates, and heavy reliance on groundwater. Quantifying connections between meteoric, ground-, and surface waters is critical for effective water resource management. Analyses of the stable isotopes of oxygen and hydrogen in the hydrosphere can help illuminate such connections. This study investigates the stable isotope composition of rainfall on O‘ahu in the Hawaiian Islands, with a particular focus on how altitude impacts stable isotope composition. Rainfall was sampled at 20 locations from March 2018 to August 2021. The new precipitation stable isotope data were integrated with previously published data to create the most spatially and topographically diverse precipitation collector network on O‘ahu to date. Results show that δ18O and δ2H values in precipitation displayed distinct isotopic signatures influenced by geographical location, season, and precipitation source. Altitude and isotopic compositions were strongly correlated along certain elevation transects, but these relationships could not be extrapolated to larger regions due to microclimate influences. Altitude and deuterium-excess were strongly correlated across the study region, suggesting d-excess may be a reliable proxy for precipitation elevation in local water tracer studies. Analysis of spring, rainfall, and fog stable isotope composition from Mount Ka‘ala suggests fog may contribute up to 45% of total groundwater recharge at the summit. These findings highlight the strong influence of microclimates on the stable isotope composition of rainfall, underscore the need for further investigation into fog's role in the water budget, and demonstrate the importance of stable isotope analysis for comprehending hydrologic dynamics in environmentally sensitive regions.","PeriodicalId":503314,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141809635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving Subseasonal Soil Moisture and Evaporative Stress Index Forecasts through Machine Learning: The Role of Initial Land State versus Dynamical Model Output 通过机器学习改进亚季土壤水分和蒸发压力指数预报：初始土地状态与动态模型输出的作用

Journal of Hydrometeorology Pub Date : 2024-06-04 DOI: 10.1175/jhm-d-23-0074.1

David J. Lorenz, J. Otkin, Ben Zaitchik, C. Hain, T. R. Holmes, M. C. Anderson

{"title":"Improving Subseasonal Soil Moisture and Evaporative Stress Index Forecasts through Machine Learning: The Role of Initial Land State versus Dynamical Model Output","authors":"David J. Lorenz, J. Otkin, Ben Zaitchik, C. Hain, T. R. Holmes, M. C. Anderson","doi":"10.1175/jhm-d-23-0074.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0074.1","url":null,"abstract":"\u0000The effect of machine learning and other enhancements on statistical-dynamical forecasts of soil moisture (0-10cm and 0-100cm) and a reference evapotranspiration fraction (Evaporative Stress Index, ESI) on sub-seasonal time scales (15-28 days) are explored. The predictors include the current and past land surface conditions, and dynamical model hindcasts from the Sub-seasonal to Seasonal (S2S) Prediction Project. When the methods are enhanced with machine learning and other improvements, the increases in skill are almost exclusively coming from predictors drawn from observations of current and past land surface states. This suggests that operational S2S flash drought forecasts should focus on optimizing use of information on current conditions rather than on integrating dynamically based forecasts, given the current state of knowledge. Nonlinear machine learning methods lead to improved skill over linear methods for soil moisture but not for ESI. Improvements for both soil moisture and ESI are realized by increasing the sample size by including surrounding grid points in training and increasing the number of predictors. In addition, all the improvements in the soil moisture forecasts predominantly impact soil moistening rather than soil drying—i.e., prediction of conditions moving away from drought rather than into drought—especially when the initial soil state is drier than normal. The physical reasons for the nonlinear machine learning improvements are also explored.","PeriodicalId":503314,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141265947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Shrinking Great Salt Lake May Exacerbate Droughts by Reducing Local Precipitation: A Case Study 萎缩的大盐湖可能会通过减少当地降水加剧干旱：案例研究

Journal of Hydrometeorology Pub Date : 2024-06-03 DOI: 10.1175/jhm-d-23-0189.1

Hongping Gu, Wei Zhang, R. Gillies

{"title":"The Shrinking Great Salt Lake May Exacerbate Droughts by Reducing Local Precipitation: A Case Study","authors":"Hongping Gu, Wei Zhang, R. Gillies","doi":"10.1175/jhm-d-23-0189.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0189.1","url":null,"abstract":"\u0000The Great Salt Lake (GSL) is a shallow terminal lake located in Northern Utah, the United States. Over the years the water extent of the GSL has undergone substantial reduction due to water diversions and a changing climate – in particular rising temperatures. However, the potential impacts of the shrinking GSL water body on the local hydroclimate system is poorly understood. In this study, we utilized the Weather Research and Forecasting model version 4.2 coupled with a lake model to simulate a series of high-resolution numerical experiments; these experiments aimed to assess the effect of varying lake areal extents on a storm event that occurred on June 6, 2007. The results revealed a systematic decline in the quantity of precipitation over the GSL and downwind regions with declining areal coverage. In the event of complete disappearance, the regional average precipitation would experience an approximate 50% reduction relative to its 2004 base lake extent; this decrease is principally attributed to a diminished water vapor flux and moist static energy (MSE) above the lake. The research underscores the consequences of a shrinking GSL, not just for precipitation delivery downstream but that of a negative feedback loop within the hydroclimatic system of the GSL basin, i.e., water flow reductions into the basin.","PeriodicalId":503314,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141268693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

In situ observations of rain rate and precipitation microphysics over the coastal area of South China: Perspectives for satellite validation 华南沿海地区雨率和降水微物理原位观测：卫星验证的前景

Journal of Hydrometeorology Pub Date : 2024-05-07 DOI: 10.1175/jhm-d-22-0227.1

Xinxin Xie, Xiao Xiao, Jieying He, Pablo Saavedra Garfias, Tiejian Li, Xiaoyu Yu, Songyan Gu, Yang Guo

{"title":"In situ observations of rain rate and precipitation microphysics over the coastal area of South China: Perspectives for satellite validation","authors":"Xinxin Xie, Xiao Xiao, Jieying He, Pablo Saavedra Garfias, Tiejian Li, Xiaoyu Yu, Songyan Gu, Yang Guo","doi":"10.1175/jhm-d-22-0227.1","DOIUrl":"https://doi.org/10.1175/jhm-d-22-0227.1","url":null,"abstract":"\u0000This study investigates precipitation observed by a set of collocated ground-based instruments in Zhuhai, a coastal city located at the southern tip of the Pearl River Delta of Guangdong Province in South China. Seven months of ground-based observations from a tipping-bucket rain gauge (RG), two laser disdrometers (PARSIVEL and PWS), and a vertically-pointing Doppler Micro Rain Radar-2 (MRR), spanning from December 2021 to July 2022, are statistically evaluated to provide a reliable reference for Chinas spaceborne precipitation measurement mission. Rainfall measurement discrepancies are found between the instruments, though the collocated deployment mitigates uncertainties originating from spatial/temporal variabilities of precipitation. The RG underestimates hourly rain amounts at the observation site, opposite to previous studies, leading to 18.2% percent bias (Pbias) of hourly rain amounts when compared to the PARSIVEL. With the same measurement principle, the hourly-accumulated rain between the two laser disdrometers has a Pbias of 15.3%. Discrepancies between MRR and disdrometers are assumed to be due to different temporal/spatial resolution, instrument sensitivities and observation geometry, with a Pbias of mass-weighted mean diameter and normalized intercept parameter of gamma size distribution less than 9%. The vertical profiles of drop size distribution (DSD) derived from the MRR are further examined during extreme rainfalls in the East Asia monsoon season (May, June, and July). Attributed to the abundant moisture which favors the growth of raindrops, coalescence is identified as the predominant effective process and the raindrop mass-weighted mean diameter increases by 33.7% when falling from 2000 m to 600 m during the extreme precipitation event in May.","PeriodicalId":503314,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141002299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaporation driven by Atmospheric Boundary Layer Processes over a Shallow Salt-Water Lagoon in the Altiplano 阿尔蒂普拉诺浅层盐水泻湖上空大气边界层过程驱动的蒸发现象

Journal of Hydrometeorology Pub Date : 2024-05-06 DOI: 10.1175/jhm-d-23-0105.1

Francisca Aguirre-Correa, J. Vilà‐Guerau de Arellano, Reinder Ronda, F. Lobos-Roco, Francisco Suárez, O. Hartogensis

{"title":"Evaporation driven by Atmospheric Boundary Layer Processes over a Shallow Salt-Water Lagoon in the Altiplano","authors":"Francisca Aguirre-Correa, J. Vilà‐Guerau de Arellano, Reinder Ronda, F. Lobos-Roco, Francisco Suárez, O. Hartogensis","doi":"10.1175/jhm-d-23-0105.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0105.1","url":null,"abstract":"\u0000Observations over a salt-water lagoon in the Altiplano show that evaporation (E) is triggered at noon, concurrent to the transition of a shallow, stable atmospheric boundary layer (ABL) into a deep mixed layer. We investigate the coupling between the ABL and E drivers using a land-atmosphere conceptual model, observations and a regional model. Additionally, we analyze the ABL interaction with the aerodynamic and radiative components of evaporation using the Penman equation adapted to salt-water. Our results demonstrate that non-local processes are dominant in driving E. In the morning the ABL is controlled by the local advection of warm air (∼5 Kh−1), which results in a shallow (<350 m), stable ABL, with virtually no mixing and no E (<50 Wm−2). The warm-air advection ultimately connects the ABL with the residual layer above, increasing the ABL height (h) by ∼1-km. At midday a thermally-driven regional flow arrives to the lagoon, which first advects a deeper ABL from the surrounding desert (∼1500 mh−1) that leads to an extra ∼700-m h increase. The regional flow also causes an increase in wind (∼12 ms−1) and an ABL collapse due to the entrance of cold air (∼−2 Kh−1) with a shallower ABL (∼−350 mh−1). The turbulence produced by the wind decreases the aerodynamic resistance and mixes the water body releasing the energy previously stored in the lake. The ABL feedback on E through vapor pressure enables high evaporation values (∼450 Wm−2 at 1430 LT). These results contribute to the understanding of E of water bodies in semi-arid conditions and emphasize the importance of understanding ABL processes when describing evaporation drivers.","PeriodicalId":503314,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141010397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing the Convective Environment over Irrigated and Non-Irrigated Land Use with Land-Atmosphere Coupling Metrics: Results from GRAINEX 利用陆地-大气耦合指标评估灌溉和非灌溉土地利用上的对流环境：来自 GRAINEX 的结果

Journal of Hydrometeorology Pub Date : 2024-05-03 DOI: 10.1175/jhm-d-23-0187.1

Daniel Whitesel, Rezaul Mahmood, Chris Phillips, Joshua Roundy, E. Rappin, Paul Flanagan, J. Santanello, U. Nair, R. Pielke

{"title":"Assessing the Convective Environment over Irrigated and Non-Irrigated Land Use with Land-Atmosphere Coupling Metrics: Results from GRAINEX","authors":"Daniel Whitesel, Rezaul Mahmood, Chris Phillips, Joshua Roundy, E. Rappin, Paul Flanagan, J. Santanello, U. Nair, R. Pielke","doi":"10.1175/jhm-d-23-0187.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0187.1","url":null,"abstract":"\u0000Land use land cover change affects weather and climate. This paper quantifies land-atmosphere interactions over irrigated and non-irrigated land uses during the Great Plains Irrigation Experiment (GRAINEX). Three coupling metrics were used to quantify some land-atmosphere interactions as it relates to convection. They include: the Convective Triggering Potential (CTP) and Low-Level Humidity Index (HIlow), and the Lifting Condensation Level (LCL) Deficit. These metrics were calculated from the rawinsonde data obtained from the Integrated Sounding Systems (ISS) for Rogers Farm and York Airport along with soundings launched from the Doppler on Wheels (DOW) sites. Each metric was categorized by Intensive Observation Period (IOP), cloud cover, and time of day.\u0000Results show that with higher CTP, lower HIlow, and lower LCL Deficit, conditions were more favorable for convective development over irrigated land use. When metrics were grouped and analyzed by IOP, compared to non-irrigated land use, HIlow was found to be lower for irrigated land use suggesting favorable conditions for convective development. Furthermore, when metrics were grouped and analyzed by clear and non-clear days, CTP values were higher over irrigated cropland compared to non-irrigated land use. In addition, compared to non-irrigated land use, LCL Deficit during the peak growing season was lower over irrigated land use, suggesting favorable condition for convection. It is found that with the transition from the early summer to the mid/peak summer and increased irrigation, the environment became more favorable for convective development over irrigated land use. Finally, it was found that regardless of background atmospheric conditions, irrigated land use provided a favorable environment for convective development.","PeriodicalId":503314,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141017106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Testing the Sensitivity of a WRF-based Great Lakes Regional Climate Model to Cumulus Parameterization and Spectral Nudging 测试基于 WRF 的五大湖区域气候模式对积云参数化和频谱推移的敏感性

Journal of Hydrometeorology Pub Date : 2024-05-02 DOI: 10.1175/jhm-d-22-0234.1

Abby Hutson, A. Fujisaki‐Manome, Brent Lofgren

引用次数: 0

Compound Flooding Potential from the Joint Occurrence of Precipitation and Storm Surge in the Qiantang Estuary, China 中国钱塘江口降水和风暴潮共同作用的复合洪水潜力

Journal of Hydrometeorology Pub Date : 2024-05-01 DOI: 10.1175/jhm-d-23-0102.1

Yanjuan Wu, Ivan D. Haigh, Chao Gao, Luke J. Jenkins, Joshua Green, Robert Jane, Yu Xu, Hengzhi Hu, Naicheng Wu

{"title":"Compound Flooding Potential from the Joint Occurrence of Precipitation and Storm Surge in the Qiantang Estuary, China","authors":"Yanjuan Wu, Ivan D. Haigh, Chao Gao, Luke J. Jenkins, Joshua Green, Robert Jane, Yu Xu, Hengzhi Hu, Naicheng Wu","doi":"10.1175/jhm-d-23-0102.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0102.1","url":null,"abstract":"\u0000In coastal regions, compound flooding, driven by multiple flood hazard sources, can cause greater damage than when the flood drivers occur in isolation. This study focuses on compound flooding from extreme precipitation and storm surge in China’s Qiantang Estuary. We quantify the potential of compound flooding by measuring bivariate joint statistical dependence and joint return period (JRP). We find a significant positive dependence between the two flood drivers considered, as indicated by Kendall’s rank correlation coefficients. Compound events occur frequently, with an average of 2.65 events per year from 1979 to 2018, highlighting the significant concern of compound flooding for this estuary. Using a copula model, we demonstrate that considering the dependence between the two flood drivers shortens the JRP of compound flooding compared to the JRP assuming total independence. For a 1-in-10-yr precipitation event and 1-in-10-yr storm surge event, the JRP is 1 in 100 years when assuming total independence. However, it decreases to 1 in 32.44 years when considering their dependence. Ignoring the dependence between flood drivers can lead to an increase in the JRP of compound events, resulting in an underestimation of the overall flood risk. Our analysis reveals a strong link between the weather patterns creating compound events and extreme storm surge only events with tropical cyclone activity. Additionally, the extreme precipitation only events were found to be connected with the frontal system of the East Asian summer monsoon. This study highlights the importance of considering the dependence between multiple flood drivers associated with certain types of the same weather systems when assessing the flood risk in coastal regions.","PeriodicalId":503314,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141031960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cross-validation methods for multi-source precipitation datasets over the sparse-gauge region: applicability and uncertainty 稀疏测站区域多源降水数据集的交叉验证方法：适用性和不确定性

Journal of Hydrometeorology Pub Date : 2024-04-16 DOI: 10.1175/jhm-d-23-0222.1

Mingze Ding, Z. Shen, Ruochen Huang, Ying Liu, Hao Wu

{"title":"Cross-validation methods for multi-source precipitation datasets over the sparse-gauge region: applicability and uncertainty","authors":"Mingze Ding, Z. Shen, Ruochen Huang, Ying Liu, Hao Wu","doi":"10.1175/jhm-d-23-0222.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0222.1","url":null,"abstract":"\u0000Evaluating the accuracy of various precipitation datasets over ungauged or even sparse-gauge areas is a challenging task. Cross-validation methods can evaluate three or more datasets based on the error independence from input data, without relying on ground reference. Here, the triple collocation (TC) method is employed to evaluate multi-source precipitation datasets: gauge-based CGDPA, model-based ERA5, and satellite-derived IMERG-Early, IMERG-Late, GSMaP-NRT, and GSMaP-MVK over the Tibetan Plateau (TP). TC-based results show that ERA5 has better performances than satellite-only precipitation products over mountainous regions with complex terrains. For purely satellite-derived products, IMERG products outperform GSMaP products. Considering the potential existence of error dependency among input datasets, caution should be exercised. Thus, it is necessary to introduce an alternative cross-validation method (generalized Three-Cornered Hat) and explore the applicability of cross-validation from the perspective of error independence. We found that cross-validation methods have high applicability in most TP regions with sparse-gauge density (accounting for about 80.1% of the total area). Additionally, we conducted simulation experiments to discuss the applicability and robustness of TC. The simulation results substantiated that cross-validation can serve as a robust evaluation method over sparse-gauge regions. Although it is generally known that the cross-validation methods can be served in sparse-gauge regions, the application condition of different evaluation methods for precipitation products is identified quantitatively in TP now.","PeriodicalId":503314,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140698204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating precipitation events using GPM IMERG 30-minute near real-time precipitation estimates 利用 GPM IMERG 30 分钟近实时降水估算值评估降水事件

Journal of Hydrometeorology Pub Date : 2024-04-12 DOI: 10.1175/jhm-d-23-0141.1

Jessica R. P. Sutton, D. Kirschbaum, Thomas Stanley, E. Orland

{"title":"Evaluating precipitation events using GPM IMERG 30-minute near real-time precipitation estimates","authors":"Jessica R. P. Sutton, D. Kirschbaum, Thomas Stanley, E. Orland","doi":"10.1175/jhm-d-23-0141.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0141.1","url":null,"abstract":"\u0000Accurately detecting and estimating precipitation at near real-time (NRT) is of utmost importance for early detection and monitoring of hydrometeorological hazards. The precipitation product, Integrated Multi-satellitE Retrievals for the Global Precipitation Mission (IMERG), provides NRT 0.1° and 30-minute precipitation estimates across the globe with only a 4-hour latency. This study was an evaluation of the GPM IMERG version 6 level-3 Early Run 30-minute precipitation product for precipitation events from 2014 through 2020. The purpose of this research was to identify when, where, and why GPM IMERG misidentified and failed to detect precipitation events in California, Nevada, Arizona, and Utah in the United States. Precipitation events were identified based on 15-minute precipitation from gauges and 30-minute precipitation from the IMERG multi-satellite constellation. False positive and false negative precipitation events were identified and analyzed to determine characteristics. Precipitation events identified by gauges had longer duration and had higher cumulative precipitation than those identified by GPM IMERG. GPM IMERG had many false event detections during the summer months suggesting possible virga event detection, which is when precipitation falls from a cloud but evaporates before it reaches the ground. The frequency and timing of the merged Passive Microwave (PMW) product and forward propagation were responsible for IMERG overestimating cumulative precipitation during some precipitation events and underestimating others. This work can inform experts that are using the GPM IMERG NRT product to be mindful of situations where GPM IMERG estimated precipitation events may not fully resolve the hydrometeorological conditions driving these hazards.","PeriodicalId":503314,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140709514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0