Atmospheric Research最新文献

{"title":"Long-term distribution and evolution trends of absorption aerosol optical depth with different chemical components in global and typical regions","authors":"Hujia Zhao ,&nbsp;Ke Gui ,&nbsp;Yangfeng Wang ,&nbsp;Yaqiang Wang ,&nbsp;Hong Wang ,&nbsp;Yu Zheng ,&nbsp;Lei Li ,&nbsp;Xiaofang Jia ,&nbsp;Huizheng Che ,&nbsp;Xiaoye Zhang","doi":"10.1016/j.atmosres.2024.107819","DOIUrl":"10.1016/j.atmosres.2024.107819","url":null,"abstract":"<div><div>Different types of atmospheric aerosols have different climatic effects. In this study, MERRA-2 reanalysis data of absorption aerosol optical depth (AAOD) products at 550 nm from 1980 to 2018 were used to analyse the long-term distribution characteristics and evolution trends of the AAOD of different chemical components globally and in 12 typical study areas. We also analysed the seasonal and interannual monthly variations of the different chemical components of AAOD. In the 40-year study period from 1980 to 2018, the maximum value of total AAOD (TAAOD) appears in the southern regions of SD (Sahara Desert), CSA (Central Southern Africa), NC (Northern China), SC (Southern China), and SEA (Southeastern Asia) (&gt; 0.040). The highest value of dust AAOD (DUAAOD) is in SD (0.030–0.040), and the contribution rate reaches 80 %; while in SC, SEA, and AMZ, black carbon AAOD (BCAAOD) contributes 80 %–90 %. The high-value area of DUAAOD in SD-ME-NWC expands in spring, and the dust belt formed in summer results in a larger DUAAOD (&gt; 0.050). The proportion of BCAAOD in autumn and winter is larger in the dust belt, which is another major contributor to AAOD in this region. The monthly distributions of TAAOD in SEA, CSA, NC, and AMZ are mainly affected by biomass combustion, while the DU in ME (Middle East), NWC (Northwestern China), and SD has a greater effect on AAOD, and the TAAOD in NEA (Northeastern Asia), WEU (Western Europe), EUS (Eastern United States), SC, SA (Southern Asia), and other regions is mainly affected by both DU and BC + OC (in which OC refers to organic carbon). The interannual variations of BCAAOD and OCAAOD tend to be flat before 2000, and then show an increasing trend. BCAAOD has the largest relative contribution (at about 60 %), followed by DUAAOD (at about 30 %), and then OCAAOD has the smallest contribution (at less than 10 %). From a global perspective, AAOD shows different increasing trends during 1980–2018, 1980–1992, and 1993–2005, and decreases or even completely reverses during 2006–2018. This paper provides the distribution characteristics and evolutionary trends of different chemical components of AAOD, which can improve scientific understanding of global- and regional-scale aerosols and their climatic effects.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"314 ","pages":"Article 107819"},"PeriodicalIF":4.5,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Atmospheric CO2 column concentration over Iran: Emissions, GOSAT satellite observations, and WRF-GHG model simulations","authors":"Samira Karbasi ,&nbsp;Amir Hossein Abdi ,&nbsp;Hossein Malakooti ,&nbsp;Jose Antonio Garcia Orza","doi":"10.1016/j.atmosres.2024.107818","DOIUrl":"10.1016/j.atmosres.2024.107818","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Regarding global warming and climate change, carbon dioxide (CO&lt;sub&gt;2&lt;/sub&gt;) is one of the most important greenhouse gases. Simulating CO&lt;sub&gt;2&lt;/sub&gt; gas at hourly/weekly time intervals and desired vertical resolution is challenging due to the coarse horizontal resolution of global models. In this study, both column-averaged CO&lt;sub&gt;2&lt;/sub&gt; mixing ratio (XCO&lt;sub&gt;2&lt;/sub&gt;) and vertical cross sections of CO&lt;sub&gt;2&lt;/sub&gt; mixing ratio were simulated by the Weather Research and Forecast Green House gas (WRF-GHG) model at spatial resolutions of 30 and 10 km for the Middle East region as the first domain, and Iran as the second domain. Simulations consider the primary CO&lt;sub&gt;2&lt;/sub&gt; sources (anthropogenic, biogenic, fire, and oceanic) and the Copernicus Atmosphere Monitoring Service (CAMS) dataset. XCO&lt;sub&gt;2&lt;/sub&gt; retrieved from GOSAT satellite observations was employed to evaluate the simulation results of the column-averaged CO&lt;sub&gt;2&lt;/sub&gt; concentrations in February and August 2010. The evaluations showed that the spatiotemporal variability of meteorological variables was well simulated by WRF-GHG with correlation coefficients r of 0.86–0.92, 0.67–0.75, and 0.76–0.82 for temperature, wind, and relative humidity, respectively, during February and August 2010. The evaluations also indicated that the WRF-GHG simulations outperformed the global model TM3, with mean bias error values of − 0.79 and 0.45 PPMV for WRF-GHG in February and August, respectively. The percentage contribution of net CO&lt;sub&gt;2&lt;/sub&gt; emissions from human activities in Iran was calculated as (38.33 % and 23.70 %) of the total emissions, respectively, with values of 4.4 and 0.85 kg/km&lt;sup&gt;2&lt;/sup&gt; in each month. The net emissions contributions of biogenic, fire, and oceanic sources were evaluated in February and August, with biogenic emissions contributing (31.901 % and 27.66 %), biogenic absorption contributing (24.07 % and 46.63 %), fire emissions contributing (5.7 % and 2.064 %), and oceanic emissions contributing (3.23 × 10&lt;sup&gt;−6&lt;/sup&gt; % and 2.23 × 10&lt;sup&gt;−6&lt;/sup&gt; %). Large-scale circulations and biogenic activity are responsible for the major features of the spatial and seasonal distribution of CO&lt;sub&gt;2&lt;/sub&gt; in the area. In February, column mixing ratios are higher in more northern latitudes; in August, they are higher to the south. Furthermore, the simulated vertical cross sections show high CO&lt;sub&gt;2&lt;/sub&gt; mixing ratios in the mid-lower troposphere and northerly/northeasterly advection in February; the vertical profile is inverted in August with high concentrations in the lower stratosphere associated with southwesterly advection. However, the interaction between the synoptic and sub-synoptic features with the topography determines the precise dispersion and distribution of CO&lt;sub&gt;2&lt;/sub&gt;. Despite the negligible emissions in central and eastern Iran, these factors play an important role in the observed concentrations in February and August. In August, the areas between the","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"314 ","pages":"Article 107818"},"PeriodicalIF":4.5,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Investigation of the meteorological conditions, dynamical, and microphysical characteristics of convective precipitation over the rainfall center of South China in the Pre-summer Rainy Season","authors":"Haoyang Wei ,&nbsp;Min Wen ,&nbsp;Zheng Ruan ,&nbsp;Haoran Li ,&nbsp;Xiaohui Shi ,&nbsp;Ziheng Huang","doi":"10.1016/j.atmosres.2024.107823","DOIUrl":"10.1016/j.atmosres.2024.107823","url":null,"abstract":"<div><div>This study investigates the meteorological conditions, dynamics, and microphysical characteristics of convective precipitation in Longmen, South China, during the Pre-summer Rainy Season (PRS) from 2016 to 2020, focusing on the influence of the South China Sea summer monsoon (SCSSM) onset. Utilizing the ERA5 reanalysis dataset and observations from the C-band Vertical Pointing Radar (VPR<img>C) and Two-Dimensional Video Disdrometer (2DVD), we analyzed 4560 Convective Precipitation Features (CPFs) and classified them into shallow convection (SC), middle convection (MC), and deep convection (DC) based on the maximum height of 35 dBZ echo-top. Key findings reveal that the onset of the SCSSM significantly enhances convective rainfall. Specifically, it increases the proportion of convective rainfall by 11 % and intensifies rainfall duration and intensity by approximately 2.2 times. Enhanced moisture convergence and stronger convective instability drive these changes. The microphysical processes are distinct across different CPF types. SCs display warm-rain processes, MCs indicate mixed-phase processes, and DCs are associated with ice-phase processes. Each type contributes uniquely to precipitation characteristics, vertical reflectivity profiles, and raindrop size distributions. These insights emphasize the SCSSM's critical role in regional precipitation patterns and provide valuable insights into the underlying processes affecting convective systems in South China, ultimately contributing to improving the capabilities of prediction in atmospheric research.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"314 ","pages":"Article 107823"},"PeriodicalIF":4.5,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards an understanding of uncertainties in the Lagrangian analysis of moisture sources for tropical cyclone precipitation through a study case","authors":"Albenis Pérez-Alarcón ,&nbsp;Marta Vázquez ,&nbsp;Ricardo M. Trigo ,&nbsp;Raquel Nieto ,&nbsp;Luis Gimeno","doi":"10.1016/j.atmosres.2024.107822","DOIUrl":"10.1016/j.atmosres.2024.107822","url":null,"abstract":"<div><div>Despite the increasing number of atmospheric moisture tracking tools, their validation is challenging due to the lack of observations. This work contributes to a better understanding of uncertainties in the moisture sources analysis for the precipitation of tropical cyclones (TCs) by assessing eight combinations of threshold values in tracking methods based on the Lagrangian water budget equation. We selected as a study case Hurricane Ida that formed in the North Atlantic basin in late August 2021 and extracted the air parcel trajectories from the global outputs of the Lagrangian FLEXPART model. Results indicate that the choice of relative humidity (RH) threshold for filtering precipitating parcels has a noticeable impact on the Lagrangian precipitation estimates. In addition, methods applying the atmospheric boundary layer restriction produce a weaker moisture source pattern than those accounting for moisture uptakes in the whole atmospheric column. In particular, methods imposing an RH restriction along the air parcel trajectories to filter out noise in moisture losses outperform the others, providing more reliable moisture source contributions. We also introduced a simple bias correction approach that further improves the reliability of moisture source representation.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"314 ","pages":"Article 107822"},"PeriodicalIF":4.5,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Regional differences in the effects of atmospheric moisture residence time on precipitation isotopes over Eurasia","authors":"Qinqin Wang ,&nbsp;Yuwei Liu ,&nbsp;Guofeng Zhu ,&nbsp;Siyu Lu ,&nbsp;Longhu Chen ,&nbsp;Yinying Jiao ,&nbsp;Wenmin Li ,&nbsp;Wentong Li ,&nbsp;Yuhao Wang","doi":"10.1016/j.atmosres.2024.107813","DOIUrl":"10.1016/j.atmosres.2024.107813","url":null,"abstract":"<div><div>Regional variations in atmospheric moisture residence time (RT) highlight the need to obtain independent observation indexes to constrain different model-based estimates. Stable isotopes of oxygen and hydrogen naturally exist in water molecules that can provide such observational constraints. We analyzed the relationship between RT and precipitation isotopes (δ²H and δ¹⁸O) across different climatic zones in Eurasia from 1980 to 2020. Our analysis reveals that: (1) Both precipitation isotopes and RT showed significant increasing trends during 1980–2020. The increase in RT corresponds to weakened net isotopic distillation over Eurasia, suggesting reduced atmospheric circulation intensity under warming conditions. (2) The spatial patterns of RT and precipitation isotopes vary significantly among different moisture source regions, reflecting distinct moisture transport and precipitation formation processes. (3) On long-term scales, RT generally shows positive correlations with precipitation isotopes, except in plateau regions. The RT-δ¹⁸O relationship exhibits latitude-dependent variations, with similar slopes in regions sharing common moisture sources. These findings enhance our understanding of the long-term controls on precipitation isotopic composition and atmospheric moisture cycling patterns across Eurasia.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"314 ","pages":"Article 107813"},"PeriodicalIF":4.5,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sensitivity of dust event simulation to dust emission schemes and meteorological forcing datasets in the Belt and Road regions: A case study","authors":"Naidi Ren ,&nbsp;Tie Dai ,&nbsp;Yueming Cheng ,&nbsp;Guangyu Shi","doi":"10.1016/j.atmosres.2024.107817","DOIUrl":"10.1016/j.atmosres.2024.107817","url":null,"abstract":"<div><div>This study investigates the sensitivity of dust event simulation to dust emission schemes and meteorological forcing datasets in the Belt and Road regions, which we divided into three dust-affected regions: North Africa, the Middle East-central Asia, and East Asia. The Weather Research and Forecasting model with online coupled chemistry (WRF-Chem) is used to simulate a dust event in the Belt and Road regions from June 15 to 20, 2016. Nine experiments were conducted using three sets of dust emission schemes (GOCART, Goddard Global Ozone Chemistry Aerosol Radiation and Transport; AFWA, Air Force Weather Agency; UoC, University of Cologne) and three meteorological forcing datasets (NCEP FNL, National Centers for Environmental Prediction Final; ECMWF ERA5, European Centre for Medium-Range Weather Forecasts Reanalysis v5; JMA JRA-55, Japan Meteorological Agency 55-year Reanalysis). The accuracy and applicability of the schemes and datasets were verified and evaluated by the global atmospheric reanalysis data, Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2), as well as observed data from the AErosol RObotic NETwork (AERONET) and CloudAerosol Lidar with Orthogonal Polarization (CALIOP). The main conclusions drawn from the simulation of this dust event are as follows: In the Middle East-central Asia and East Asia, the uncertainty in the dust emission schemes is greater than that in the meteorological forcing datasets, while in North Africa, they are comparable. Among the schemes, GOCART is generally more applicable across the three dust-affected regions compared to AFWA and UoC. Additionally, JRA-55 shows a slight advantage over FNL and ERA5 in North Africa and the Middle East-central Asia. Significant differences in the spatial distribution of dust emissions are observed among experiments using different dust emission schemes, whereas slight differences are noted among those with different meteorological forcing datasets; notably, dust optical depth (DOD) distribution closely aligns with dust emissions.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"314 ","pages":"Article 107817"},"PeriodicalIF":4.5,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 modulation effect of the Victoria mode on the uncertainty connection between ENSO and winter European surface air temperature","authors":"Kai Ji ,&nbsp;Ruiqiang Ding ,&nbsp;Linlu Mei","doi":"10.1016/j.atmosres.2024.107815","DOIUrl":"10.1016/j.atmosres.2024.107815","url":null,"abstract":"<div><div>While El Niño-Southern Oscillation (ENSO) has widespread impacts on the climate around the Pacific and North America, the relationship between ENSO and winter surface air temperature (SAT) in Europe is less well established. This study investigates the modulation effects of the spring Victoria mode (VM) on the weak ENSO–SAT connection in the following winter based on reanalysis data and numerical experiments. It is shown that the connection between ENSO and the winter SAT in central Europe has a significant and positive (negative) correlation during the positive (negative) VM phase. Further analysis shows that the sea surface temperature (SST) anomalies associated with ENSO play an important role in the VM modulation. For the positive VM phase, ENSO combined with the SST warming mode in the western North Pacific induces the East Atlantic teleconnection pattern, which strengthens the anomalous warm advection and leads to the positive SAT anomalies in central Europe. In contrast, for the negative VM phase, ENSO could trigger a negative North Atlantic Oscillation pattern through intermediate SST anomalies in the tropical North Pacific, favoring the formation of the negative central European SAT anomalies. The remarkable modulation effect of the VM on the connection between ENSO and winter central European SAT is further verified through forced experiments using an atmospheric model. This could provide hope that ENSO can make predictions for the winter SAT in central Europe, considering the phase of the preceding spring VM.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"314 ","pages":"Article 107815"},"PeriodicalIF":4.5,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impacts of climate trends on the heavy precipitation event associated with Typhoon Doksuri in Northern China","authors":"Ziyu Yan ,&nbsp;Zhuo Wang ,&nbsp;Melinda Peng","doi":"10.1016/j.atmosres.2024.107816","DOIUrl":"10.1016/j.atmosres.2024.107816","url":null,"abstract":"<div><div>The remnant inland circulation of Typhoon Doksuri induced catastrophic heavy precipitation in July 2023 in the Beijing-Tianjin-Hebei area of China. The role of climate trends in this event is investigated using the pseudo-global warming approach. The control experiment driven by the ERA5 reanalysis captures the intensity and spatial distribution of the heavy precipitation reasonably well. The effects of climate trends are investigated by removing climate trends in various variables from the boundary and initial conditions of the sensitivity experiments. The warming trend of sea surface temperature is found to enhance extreme precipitation intensity, while the specific humidity trend, which is positive over the ocean but negative in some inland regions, has negligible impacts on inland extreme precipitation. The impacts of atmospheric dynamic trends are found to be predominant, which alter the track of the remnant circulation, reduce precipitation intensity, and substantially change the spatial distribution of precipitation. This study highlights the importance of considering atmospheric dynamic trends when assessing the impacts of climate trends on typhoon remnant circulations over land, which may lead to extreme precipitation in regions that have rarely experienced such extremes before.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"314 ","pages":"Article 107816"},"PeriodicalIF":4.5,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Evaluating the ALADIN-climate model reanalysis over Central Europe","authors":"Romana Beranová ,&nbsp;Michal Belda ,&nbsp;Radmila Brožková ,&nbsp;Lucie Pokorná ,&nbsp;Jana Popová ,&nbsp;Zuzana Rulfová ,&nbsp;Zbyněk Sokol","doi":"10.1016/j.atmosres.2024.107809","DOIUrl":"10.1016/j.atmosres.2024.107809","url":null,"abstract":"<div><div>Reanalysis is a well-established tool for monitoring the state of the atmosphere. This study aims at validating the ALADIN-Climate (AC) model reanalysis over Europe with a focus on Central Europe. The AC model is based on the ALARO model configuration and belongs to convection permitting models. Its horizontal resolution is 2.3 km. We evaluated a 25-year long period (1990–2014) and we performed the validation process using measurements from ground-based meteorological data over Europe to assess the ability of the AC model to simulate temperature, precipitation, relative humidity, wind speed, and global radiation. The AC model reanalysis tends to overestimate minimum daily temperature and underestimate maximum daily temperature, with larger differences observed during summer. Winter precipitation totals are overestimated by nearly 50 %, partly due to an overestimation of wet days, while summer precipitation is less overestimated (by 13 %). Relative humidity is consistently overestimated across the model domain in winter, whereas in summer it is variable. Wind speed is overestimated in both summer and winter, and global radiation is also overestimated, especially in winter. Although some variables, like winter precipitation, exhibit significant biases, the overall differences between the AC model reanalysis and station data are consistent with other reanalyses, such as CERRA and ERA5. Biases in the AC model reanalysis are not only caused by the model's imperfections and errors, but also by potential systematic errors at measuring stations. Given its high spatial resolution, this AC regional reanalysis offers a valuable source for further climate studies in Central Europe.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"314 ","pages":"Article 107809"},"PeriodicalIF":4.5,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Estimation of radiative effects of deep convective cloud cores using SAPHIR & ScaRaB onboard Megha-Tropiques satellite","authors":"Sisma Samuel ,&nbsp;Nizy Mathew ,&nbsp;V. Sathiyamoorthy","doi":"10.1016/j.atmosres.2024.107803","DOIUrl":"10.1016/j.atmosres.2024.107803","url":null,"abstract":"<div><div>The instantaneous radiative effects of cores of deep convective clouds (CDCCs) linked to well-organised long-lived convective system over the tropics is estimated for the first time using Megha-Tropiques (MT) during 2012‐–2018. Sondeur Atmosphérique du Profil d'Humidité Intertropicale par Radiométrie (SAPHIR) and Scanner for Radiation Budget (ScaRaB) onboard MT provides collocated and concurrent observations of CDCCs and associated fluxes on top-of-the-atmosphere (TOA), respectively. The vertical extent of CDCCs is estimated using collocated and concurrent CloudSat and SAPHIR observations. The CDCCs have a vertical extent above 10 km and their frequency of occurrence peaks between 13 and 16 km. CDCCs exert significant longwave radiative effect over the tropical Africa, northwest Pacific Ocean and northern Bay of Bengal during June–August with values ranging between 160 Wm⁻² and 180 Wm⁻². Over the convective core regions, the magnitude of day time (08–17 Local time) shortwave radiative effect of CDCCs (SWREC) ranges from −250 Wm⁻² to −650 Wm⁻² with peak values over northern Bay of Bengal and west Pacific Ocean during June to August. The SWREC aligns with both the incoming solar radiation and the occurrence frequency of CDCCs (OFCs), while the diurnal cycle of LWREC follows the OFCs, with a more pronounced variation over land. A diurnal amplitude of 30–40 Wm⁻² is observed in LWREC over the ocean, <span><math><mo>∼</mo></math></span>60 Wm⁻² over land. The CDCCs exert a net radiative cooling ranging from −200 Wm⁻² to −550 Wm⁻² during daytime and a net warming during night time that reaches as high as 160 Wm⁻².</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"314 ","pages":"Article 107803"},"PeriodicalIF":4.5,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}