Journal of Hydrometeorology最新文献

Spatiotemporal characteristics and triggers of flash droughts across all the river basins in India 印度所有流域山洪暴发的时空特征和诱因

IF 3.1 3区地球科学

Journal of Hydrometeorology Pub Date : 2024-08-08 DOI: 10.1175/jhm-d-23-0080.1

Vikas Poonia, S. Jha, V. V. Srinivas, Lixin Wang

{"title":"Spatiotemporal characteristics and triggers of flash droughts across all the river basins in India","authors":"Vikas Poonia, S. Jha, V. V. Srinivas, Lixin Wang","doi":"10.1175/jhm-d-23-0080.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0080.1","url":null,"abstract":"\u0000Flash Droughts (FDs) have attracted widespread attention in recent years due to their sudden onset and rapid intensification with significant impacts on ecosystems, water resources, and agriculture. These features of FDs pose unique challenges for their forecast, monitoring, and mitigation. The impact of FDs on society can vary depending on several factors, such as the frequency of their occurrence, rate of intensification, and mean severity, which are not well understood and remain unclear specifically over India. This study developed a novel approach to quantitatively define FD based on the aridity index. This new approach was used to examine spatiotemporal characteristics (including trends) and triggers of FDs over 25 river basins across India from 1981 to 2021. The hydrometeorological conditions, including soil moisture percentiles, anomalies of precipitation, temperature, and vapor pressure deficit were investigated at different stages of FD. Results suggest that FDs with high intensification rates are more common in humid areas compared to sub-humid and semi-arid areas. Both precipitation and temperature are primary triggers of FDs over a major part of the study area. The individual effects of soil moisture and precipitation also act as a trigger across some regions (like northeast India and the Western Ghats). Additionally, atmospheric aridity can create conditions conducive to FDs, and when combined with depleted soil moisture, it can accelerate their rapid onset. Besides the scientific novelty, the findings of this study will facilitate policymakers to formulate effective strategies to mitigate the consequences of FDs on water resources and agriculture in India.","PeriodicalId":15962,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141927143","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}

引用次数: 0

Evaluation of Noah-MP snow simulation across site conditions in the Western US 美国西部不同地点条件下的 Noah-MP 雪地模拟评估

IF 3.1 3区地球科学

Journal of Hydrometeorology Pub Date : 2024-07-11 DOI: 10.1175/jhm-d-23-0211.1

M. V. Kaenel, S. Margulis

{"title":"Evaluation of Noah-MP snow simulation across site conditions in the Western US","authors":"M. V. Kaenel, S. Margulis","doi":"10.1175/jhm-d-23-0211.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0211.1","url":null,"abstract":"\u0000Quantifying spatio-temporal variability in snow water resources is a challenge especially relevant in regions that rely on snowmelt for water supply. Model accuracy is often limited by uncertainties in meteorological forcings and/or suboptimal physics representation. In this study, we evaluate the performance and sensitivity of Noah-MP snow simulations from ten model configurations across 199 sites in the Western US. Nine experiments are constrained by observed meteorology to test snow-related physics options, and the tenth tests an alternative source of meteorological forcings. We find that the base case, which aligns with the National Water Model configuration and uses observations-based forcings, overestimates observed accumulated SWE at 90% of stations by a median of 9.6%. The model performs better in the accumulation season at colder, drier sites and in the melt season at wetter, warmer sites. Accumulation metrics are sensitive to model configuration in two experiments, and melt metrics in six. Alterations to model physics cause changes to median accumulation metrics from −13% to 2.3% with the greatest change due to precipitation partitioning; and to melt metrics from −10% to 3% with the greatest change due to surface resistance configuration. The experiment with alternative forcings causes even greater and wider-ranging changes (medians ranging −29% to 6%). Not all stations share the same best-performing model configuration. At most stations, the base case is outperformed by four alternative physics options which also significantly impact snow simulation. This research provides insights into the performance and sensitivity of snow predictions across site conditions and model configurations.","PeriodicalId":15962,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141657681","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}

引用次数: 0

Precipitation proxies for flash flooding: A seven-year analysis over the contiguous United States 山洪暴发的降水代用指标：美国毗连地区七年分析

IF 3.1 3区地球科学

Journal of Hydrometeorology Pub Date : 2024-07-11 DOI: 10.1175/jhm-d-23-0203.1

Eric P. James, Russ S. Schumacher

{"title":"Precipitation proxies for flash flooding: A seven-year analysis over the contiguous United States","authors":"Eric P. James, Russ S. Schumacher","doi":"10.1175/jhm-d-23-0203.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0203.1","url":null,"abstract":"\u0000Flash flooding remains a challenging prediction problem, which is exacerbated by the lack of a universally accepted definition of the phenomenon. In this article, we extend prior analysis to examine the correspondence of various combinations of quantitative precipitation estimates (QPE) and precipitation thresholds to observed occurrences of flash floods, additionally considering short-term quantitative precipitation forecasts from a convection-allowing model.\u0000Consistent with previous studies, there is large variability between QPE datasets in the frequency of “heavy” precipitation events. There is also large regional variability in the best thresholds for correspondence with reported flash floods. In general, Flash Flood Guidance (FFG) exceedances provide the best correspondence with observed flash floods, although the best correspondence is often found for exceedances of ratios of FFG above or below unity. In the interior western US, NOAA Atlas 14 derived recurrence interval thresholds (for the southwestern US) and static thresholds (for the northern and central Rockies) provide better correspondence.\u0000Six-hour QPE provides better correspondence with observed flash floods than 1-h QPE in all regions except the west coast and southwestern US. Exceedances of precipitation thresholds in forecasts from the operational High-Resolution Rapid Refresh (HRRR) generally do not correspond with observed flash flood events as well as QPE datasets, but they outperform QPE datasets in some regions of complex terrain and sparse observational coverage such as the southwestern US. These results can provide context for forecasters seeking to identify potential flash flood events based on QPE or forecast-based exceedances of precipitation thresholds.","PeriodicalId":15962,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141658284","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}

引用次数: 0

Impact of Vegetation Assimilation on Flash Drought Characteristics Across the Continental United States 美国大陆植被同化对闪电干旱特征的影响

IF 3.8 3区地球科学

Journal of Hydrometeorology Pub Date : 2024-06-14 DOI: 10.1175/jhm-d-23-0219.1

Ali Fallah, Mathew Barlow, Laurie Agel, Junghoon Kim, Justin Mankin, David M. Mocko, Christopher B. Skinner

{"title":"Impact of Vegetation Assimilation on Flash Drought Characteristics Across the Continental United States","authors":"Ali Fallah, Mathew Barlow, Laurie Agel, Junghoon Kim, Justin Mankin, David M. Mocko, Christopher B. Skinner","doi":"10.1175/jhm-d-23-0219.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0219.1","url":null,"abstract":"\u0000Predicting and managing the impacts of flash droughts is difficult owing to their rapid onset and intensification. Flash drought monitoring often relies on assessing changes in root-zone soil moisture. However, the lack of widespread soil moisture measurements means that flash drought assessments often use process-based model data like that from the North American Land Data Assimilation System (NLDAS). Such reliance opens flash drought assessment to model biases, particularly from vegetation processes. Here we examine the influence of vegetation on NLDAS-simulated flash drought characteristics by comparing two experiments covering 1981-2017: open loop, (OL) which uses NLDAS surface meteorological forcing to drive a land-surface model using prognostic vegetation, and data assimilation (DA), which instead assimilates near-real-time satellite-derived leaf area index (LAI) into the land-surface model. The OL simulation consistently underestimates LAI across the U.S., causing relatively high soil moisture values. Both experiments produce similar geographic patterns of flash droughts, but OL produces shorter duration events and regional trends in flash drought occurrence that are sometimes opposite to those in DA. Across the Midwest and Southern U.S., flash droughts are four weeks (about 70%) longer on average in DA than OL. Moreover, across much of the Great Plains, flash drought occurrence has trended upward according to the DA experiment, opposite to the trend in OL. This sensitivity of flash drought to the representation of vegetation suggests that representing plants with greater fidelity could aid in monitoring flash droughts and improve the prediction of flash drought transitions to more persistent and damaging long-term droughts.","PeriodicalId":15962,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141341426","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}

引用次数: 0

Evaluation of IMERG and MSG-CPP precipitation estimates over Europe using EURADCLIM: a gauge-adjusted European composite radar dataset 利用 EURADCLIM 评估 IMERG 和 MSG-CPP 对欧洲降水量的估算：经过测量仪调整的欧洲综合雷达数据集

IF 3.8 3区地球科学

Journal of Hydrometeorology Pub Date : 2024-06-12 DOI: 10.1175/jhm-d-23-0184.1

Emiel van der Plas, A. Overeem, J. F. Meirink, H. Leijnse, L. Bogerd

{"title":"Evaluation of IMERG and MSG-CPP precipitation estimates over Europe using EURADCLIM: a gauge-adjusted European composite radar dataset","authors":"Emiel van der Plas, A. Overeem, J. F. Meirink, H. Leijnse, L. Bogerd","doi":"10.1175/jhm-d-23-0184.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0184.1","url":null,"abstract":"\u0000A new pan-European climatological dataset was recently released that has a much higher spatiotemporal resolution than existing pan-European interpolated rain gauge datasets. This radar dataset of hourly precipitation accumulations, EURADCLIM (Overeem et al. 2023), covers most of continental Europe with a resolution of 2 km × 2 km, and is adjusted employing data from potentially thousands of government rain gauges. This study aims to use this dataset to evaluate two important satellite-derived precipitation products over the period 2013 to 2019 at a much higher spatiotemporal resolution than was previously possible at the European scale: the IMERG late run and the Meteosat Second Generation (MSG) Cloud Physical Properties product from the SEVIRI instrument. The latter is only available during daytime, so the analyses are restricted to daytime conditions. A direct grid cell comparison of hourly precipitation reveals an apparently low coefficient of correlation. However, looking into slightly more detail at statistics pertaining to longer time scales or specific areas, the datasets show good correspondence. All datasets are shown to have their specific biases, that can be transient or more systematic, depending on the timing or location. The MSG precipitation seems to have an overall positive bias and the IMERG dataset suffers from some transient overestimation of certain events.","PeriodicalId":15962,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141352305","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}

引用次数: 0

Future Changes in Day-to-Day Precipitation Variability in Europe 欧洲逐日降水变异性的未来变化

IF 3.8 3区地球科学

Journal of Hydrometeorology Pub Date : 2024-06-11 DOI: 10.1175/jhm-d-23-0206.1

Ondřej Lhotka, E. Plavcová, R. Beranová

{"title":"Future Changes in Day-to-Day Precipitation Variability in Europe","authors":"Ondřej Lhotka, E. Plavcová, R. Beranová","doi":"10.1175/jhm-d-23-0206.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0206.1","url":null,"abstract":"\u0000We analyzed regional patterns of day-to-day precipitation variability across Europe and assessed their future changes using CORDEX regional climate models. A discrete Markov chain process was employed to calculate transition probabilities from wet and dry states and the precipitation variability was quantified using the proposed Variability index (IVAR; sum of wet-to-dry and dry-to-wet transitions divided by total number of transitions). IVAR is, in general, lowest in Southern Europe and gradually increases northward in the observed data. Performance of the regional climate models is season dependent: they capture IVAR reasonably well in summer but higher simulated variability was found for the winter season. IVAR trends computed for the 2006–2095 period suggest decreasing day-to-day precipitation variability over Southern Europe, especially in summer under the high-concentration RCP8.5 pathway. By contrast, increased variability is projected in Northern Europe. Between these two regions, future IVAR trends are less clear, because they strongly depend on the selection of driving global model, hinting of an uncertain future hydroclimate in the Central European region.","PeriodicalId":15962,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141356007","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}

引用次数: 0

Improving hurricane intensity and streamflow forecasts in coupled hydro-meteorological simulations by analyzing precipitation and boundary layer schemes 通过分析降水和边界层方案，改进水文气象耦合模拟中的飓风强度和流量预报

IF 3.8 3区地球科学

Journal of Hydrometeorology Pub Date : 2024-06-06 DOI: 10.1175/jhm-d-23-0153.1

Md. Murad Hossain Khondaker, Mostafa Momen

{"title":"Improving hurricane intensity and streamflow forecasts in coupled hydro-meteorological simulations by analyzing precipitation and boundary layer schemes","authors":"Md. Murad Hossain Khondaker, Mostafa Momen","doi":"10.1175/jhm-d-23-0153.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0153.1","url":null,"abstract":"\u0000Hurricanes have been the most destructive and expensive hydro-meteorological event in US history, causing catastrophic winds and floods. Hurricane dynamics can significantly impact the amount and spatial extent of storm precipitation. However, the complex interactions of hurricane intensity and precipitation and the impacts of improving hurricane dynamics on streamflow forecasts are not well established yet. This paper addresses these gaps by comprehensively characterizing the role of vertical diffusion in improving hurricane intensity and streamflow forecasts under different planetary boundary layer, microphysics, and cumulus parameterizations. To this end, the Weather and Research Forecasting (WRF) atmospheric model is coupled with the WRF hydrological model (WRF-Hydro) to simulate four major hurricanes landfalling in three hurricane-prone regions in the US. First, a stepwise calibration is carried out in WRF-Hydro, which remarkably reduces streamflow forecast errors compared to the United States Geological Survey (USGS) gauges. Then, 60 coupled hydro-meteorological simulations were conducted to evaluate the performance of current weather parameterizations. All schemes were shown to underestimate the observed intensity of the considered major hurricanes since their diffusion is over-dissipative for hurricane flow simulations. By reducing the vertical diffusion, hurricane intensity forecasts were improved by ~39.5% on average compared to the default models. These intensified hurricanes generated more intense and localized precipitation forcing. This enhancement in intensity led to ~16% and ~34% improvements in hurricane streamflow bias and correlation forecasts, respectively. The research underscores the role of improved hurricane dynamics in enhancing flood predictions and provides new insights into the impacts of vertical diffusion on hurricane intensity and streamflow forecasts.","PeriodicalId":15962,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378502","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}

引用次数: 0

Moisture Recycling through Pumping by Mesoscale Convective Systems 通过中尺度对流系统抽水实现水分循环

IF 3.8 3区地球科学

Journal of Hydrometeorology Pub Date : 2024-06-01 DOI: 10.1175/jhm-d-23-0174.1

Huancui Hu, L. R. Leung, Zhe Feng, James Marquis

{"title":"Moisture Recycling through Pumping by Mesoscale Convective Systems","authors":"Huancui Hu, L. R. Leung, Zhe Feng, James Marquis","doi":"10.1175/jhm-d-23-0174.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0174.1","url":null,"abstract":"\u0000Moisture recycling, the contribution of local evapotranspiration (ET) to precipitation, has been studied using bulk models assuming a well-mixed atmosphere. The latter is inconsistent with a climatologically stratified atmosphere that slants across latitudes. Reconciling the two views requires an understanding of overturning associated with different weather systems. In this study, we aim to better understand moisture recycling associated with mesoscale convective systems (MCSs). Using a convection-permitting WRF simulation equipped with water vapor tracers (WRF-WVT), we tag moisture from terrestrial ET in the U.S. Southern Great Plains during May 2015, when more than 20 MCS events occurred and produced significant precipitation and flooding. Water budget analysis reveals that approximately 76% of terrestrial ET is advected away from the region while the remaining 24% of terrestrial ET is “pumped” upward within the region, accounting for 12% of precipitation. Moisture recycling peaks during early night hours (1800–2400 LT) due to the mixing of the daytime accumulated ET by active convection. By focusing on five “diurnally driven” MCSs with less large-scale circulation influence than other MCSs during the same period, we find an upright pumping of terrestrial ET at the MCS initiation and development stages, which diverges into two branches during the MCS mature and decaying stages. One branch in the upper level advects the ET-sourced moisture downstream, while the other branch in the mid-to-upper level contributes to the trailing precipitation upstream. Overall, our analysis depicts a pumping mechanism associated with MCSs that mixes local ET vertically, highlighting its specific contributions to enhancing convective precipitation processes.","PeriodicalId":15962,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141409806","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}

引用次数: 0

Spatial and Temporal Variation of Subseasonal-to-Seasonal (S2S) Precipitation Reforecast Skill Across CONUS 全美亚季节到季节（S2S）降水再预报技能的空间和时间变化

IF 3.8 3区地球科学

Journal of Hydrometeorology Pub Date : 2024-03-05 DOI: 10.1175/jhm-d-23-0159.1

Jessica Rose Levey, A. Sankarasubramanian

{"title":"Spatial and Temporal Variation of Subseasonal-to-Seasonal (S2S) Precipitation Reforecast Skill Across CONUS","authors":"Jessica Rose Levey, A. Sankarasubramanian","doi":"10.1175/jhm-d-23-0159.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0159.1","url":null,"abstract":"\u0000Precipitation forecasts, particularly at subseasonal-to-seasonal (S2S) time scale, are essential for informed and proactive water resources management. Although S2S precipitation forecasts have been evaluated, no systematic decomposition of the skill, Nash-Sutcliffe Efficiency (NSE) coefficient, has been analyzed towards understanding the forecast accuracy. We decompose the NSE of S2S precipitation forecast into its three components – correlation, conditional bias, and unconditional bias – by four seasons, three lead times (1–12-day, 1–22 day, and 1–32 day), and three models, European Centre of Medium-Range Weather Forecasts (ECMWF), National Center for Environmental Prediction’s (NCEP) Climate Forecast System (CFS) model, and Environment and Climate Change Canada (ECCC), over the Conterminous United States (CONUS). Application of a dry threshold, removal of grid cells with seasonal climatological precipitation means below 0.01 inches per day, is important as the NSE and correlations are lower across all seasons after masking areas with low precipitation values. Further, a west-to-east gradient in S2S forecast skill exists and forecast skill was better during the winter months and for areas closer to the coast. Overall, ECMWF’s model performance was stronger than both ECCC and NCEP CFS’s performance, mainly for the forecasts issued during fall and winter months. However, ECCC and NCEP CFS performed better for the forecast issued during the spring months and for areas further from the coast. Post-processing using simple Model Output Statistics could reduce both unconditional and conditional bias to zero, thereby offering better skill for regimes with high correlation. Our decomposition results show efforts should focus on improving model parameterization and initialization schemes for climate regimes with low correlation.","PeriodicalId":15962,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140079487","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}

引用次数: 0

Estimation of Surface Sensible Heat Flux due to Precipitation over CONUS and Its Impact on Urban Extreme Precipitation Modeling 美国中部降水引起的地表感热通量估算及其对城市极端降水建模的影响

IF 3.8 3区地球科学

Journal of Hydrometeorology Pub Date : 2024-03-01 DOI: 10.1175/jhm-d-23-0068.1

H. Tan, Rao Kotamarthi, Pallav Ray

{"title":"Estimation of Surface Sensible Heat Flux due to Precipitation over CONUS and Its Impact on Urban Extreme Precipitation Modeling","authors":"H. Tan, Rao Kotamarthi, Pallav Ray","doi":"10.1175/jhm-d-23-0068.1","DOIUrl":"https://doi.org/10.1175/jhm-d-23-0068.1","url":null,"abstract":"\u0000The surface sensible heat flux induced by precipitation (QP) is a consequence of the temperature difference between the surface and the rain droplets. Despite its seemingly negligible nature, QP is frequently omitted from both meteorological and climatological models. Nevertheless, it is important to acknowledge the numerous occasions in which the instantaneous values of QP can be significant, particularly during extreme precipitation events. This study undertakes a comprehensive assessment of QP across the contiguous United States (CONUS) utilizing high-resolution reanalysis, observational data, and numerical modeling to examine the influence of QP on precipitation and the surface energy budget. The findings indicate that the spatial distribution of QP climatology is analogous to that of precipitation, with magnitudes ranging from 2 to 3 W m−2 predominantly over the Midwest and Southeast regions. A seasonal analysis of QP reveals that the highest values occurring during the June–August (JJA) period, averaging 3.18 W m−2. Peak QP values of approximately 4 W m−2 are observed during JJA over the Great Plains region. We hypothesize that the QP during an extreme precipitation event would be nonnegligible and have a significant impact on the local weather. To test this conjecture, we perform high-resolution simulations with and without QP during an extreme precipitation event over the Chicago Metropolitan Area (CMA). The results show that the QP may be a dominant factor compared to other components of surface heat flux during the zenith of precipitation hours. Also, QP has the potential to not only diminish precipitation but also alter and reconfigure the remaining surface energy budget components.","PeriodicalId":15962,"journal":{"name":"Journal of Hydrometeorology","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140085875","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}

引用次数: 0