Atmospheric Research最新文献

{"title":"Impact of the combined assimilation of GPM/IMGER precipitation and Himawari-8/AHI water vapor radiance on snowfall forecasts using WRF model and 4Dvar system","authors":"","doi":"10.1016/j.atmosres.2024.107726","DOIUrl":"10.1016/j.atmosres.2024.107726","url":null,"abstract":"<div><div>In this study, the investigation is made to reveal the impact of multi-strategically assimilating Global Precipitation Measurement (GPM) precipitation and Himawari-8/Advanced Himawari Imager (AHI) water vapor radiances (WVR) on forecasting a heavy snowfall event in the Eastern Qinghai-Tibet Plateau (EQTP) employing the Weather Research and Forecast model (WRF) and the Four-Dimensional Variational (4DVar) assimilation system (WRF-4DVar). The multiple data assimilation (DA) strategies include control tests (CON), the individual assimilation of AHI and GPM tests (DA_AHI and DA_GPM) and the joint assimilation of GPM and AHI (DA_G&amp;A), with different initial times. The results indicate that GPM precipitation effectively captures mesoscale atmospheric details, but its scope is confined to a limited area. AHI WVR is sensitive to upper-middle atmospheric humidity and furnishes extensive-scale environmental parameters such as water vapor transport characteristics. The joint assimilation of the two not only yields multi-dimensional atmospheric insights but also addresses the limitations of individual assimilation. Assimilation GPM and AHI are respective sensitivity to the lower layers (about 800hpa) and upper layers (about 400hpa) of model. The individual assimilation GPM has the greatest effect on near-surface humidity field, and AHI plays a dominant role in the joint assimilation. By assimilating different remote sensing products at different initial times of NWPs, the thermodynamic and dynamic structures are variously reconstructed, leading to the different snowfall scenes. In addition, we further compare the 12-hourly cumulative snowfall with in-situ meteorological station observations. The predictions of snowfall from DA_G&amp;A perform much better with the correlation coefficient (CC) and root-mean-square error (RMSE) 0.36 and 3.14 mm, respectively. As for different initial times of NWPs, the best snowfall forecast is 0600 UTC on October 28, 2022, and the CC is 0.4. Nevertheless, accurately predicting precipitation areas, intensity, and temporal variations remains challenging, particularly for solid precipitation like snowfall. Thus, meticulous consideration of weather process characteristics, observation attributes, and relevant parameter configurations during DA are imperative to enhance the efficiency of observation data utilization.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445387","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":"Quantitative analysis of the contribution of moisture recycling to precipitation in the cold region","authors":"","doi":"10.1016/j.atmosres.2024.107729","DOIUrl":"10.1016/j.atmosres.2024.107729","url":null,"abstract":"<div><div>This study quantitatively analyzed the contribution rate of recycled moisture to precipitation in the basin based on the Craig-Gordon model and the three-end-member mixing model through selecting 456 precipitation sample data collected from six sampling points in the source region of the Yellow River from September 2019 to August 2021. The results showed that: the contribution rate of moisture recycling to precipitation during the growing season is 40 %, and the total contribution to local moisture recycling is equivalent to 41 mm of precipitation. The contribution rate of evaporation and transpiration has obvious seasonal variation characteristics, showing a trend of decreasing first and then increasing in the source region of the Yellow River. Spatially, the contribution rate of evaporation and transpiration showed an increasing trend from south to north. It is assumed that all the precipitation generated by moisture recycling produces runoff, and the water yield is about 51 × 10⁸ m³, which is 25 % of the total annual average runoff. In addition, the proportion of local moisture recirculation is mainly related to altitude, topography, vegetation coverage, and meteorological factors. Moisture recirculation is one of the important sources of precipitation in the source region of the Yellow River.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445384","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":"Comparison of 2-m surface temperature data between reanalysis and observations over the Arabian Peninsula","authors":"","doi":"10.1016/j.atmosres.2024.107725","DOIUrl":"10.1016/j.atmosres.2024.107725","url":null,"abstract":"<div><div>The 2-m temperature data is a significant indicator for studying the weather extremes and the exchange of water and energy fluxes between the surface and atmosphere. This study compared three reanalysis datasets, i.e., ERA5, ERA5-Land, and MERRA-2, with observations from in-situ sources from 1990 to 2022 using various statistical error metrics and extreme temperature indices over the Arabian Peninsula (AP) region. We selected these reanalysis datasets due to the continuous improvements and higher spatiotemporal output better capturing the temperature variability. The spatiotemporal climatology shows lower temperatures in winter (&lt;15 °C) and maximum in summer (&gt;35 °C); however, the reanalysis data show more deviations in temperature during the cold season than in the warm season. The reanalysis data underestimated the frequency of the cold (&lt;10 °C) and hot (&gt;30 °C) days across the four regions, except ERA5-Land, which closely followed observed data. The strength of the correlation shows better performance (&gt;0.90) in the cold extremes (cold nights and cold days) frequency than the hot extremes. On an interannual scale, reanalysis products exhibit strong correlations (&gt;0.90) with in-situ data across most regions, particularly in winter and autumn, moderate in spring, and weaker in summer. The reanalysis data shows negative biases in the inland regions and positive biases in the coastal areas with consistent root mean square differences (RMSD) spatiotemporally. The differences in performance are due to the topography and poor representation of the energy fluxes, especially in MERRA-2 as well as missing data in observations. This study recommends ERA5-Land as the first choice for extreme weather simulations in the region, followed by MERRA-2 and ERA5 on the same scale, but proper attention is needed when using reanalysis data for cold and hot extremes.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445385","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":"Response of urban heat island effects within the planetary boundary layer to heat waves and impact of horizontal advection over Shanghai","authors":"","doi":"10.1016/j.atmosres.2024.107721","DOIUrl":"10.1016/j.atmosres.2024.107721","url":null,"abstract":"<div><div>This study characterizes the variation of the urban heat island (UHI) within the planetary boundary layer (PBL) and investigates the horizontal advection effects on the UHI variation throughout a heat wave (HW) event over Shanghai municipality in August 2019 based on numerical model simulations. It is found that the UHI intensifies under HW conditions with the UHI intensity gradually weakening from the surface upwards. The daytime UHIs during the HW are 3.68 K (29.27 %), 1.41 K (33.52 %) and 1.04 K (36.97 %) higher than those during the pre-HW at the surface, near-surface and in the PBL, respectively, while the nighttime UHIs have no significant response to the HW at least for this case. The mean UHIs during the HW period at the surface, near-surface (2 m) and in the PBL are 6.83 K (2.68 K), 2.45 K (1.34 K), and 1.73 K (0.04 K) in the daytime (nighttime), respectively. The PBL UHI generally exists only in the daytime potentially caused by the thermal convective diffusion. The near-surface and PBL UHIs are significantly affected by the horizontal advection, resulting in different UHI intensities and variations against rural regions in different orientations. Cold advection from the Yangtze River (the ocean) in the riverside (coastal) rural region corresponds to the great UHI intensification, while the strong cold advection in the urban region well explains the fast UHI weakening. This study highlights that, besides local thermal factors, synoptic circulation also play an important role in the interaction between the UHI effect and HW events.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417126","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":"Role of the subtropical southern Indian Ocean in the interannual variability of Antarctic summer sea ice","authors":"","doi":"10.1016/j.atmosres.2024.107723","DOIUrl":"10.1016/j.atmosres.2024.107723","url":null,"abstract":"<div><div>Through data diagnosis and dynamic analysis, this study aims to reveal the potential influence of the Subtropical Dipole Pattern (SDP) in the southern Indian Ocean on the interannual variation of south polar sea ice. The results indicate that a robust teleconnection exists between the SDP and south polar sea ice. At least two months in advance, the SDP significantly affects the Antarctic summer sea-ice anomalies. Specifically, during the positive (negative) phase of the SDP, the Amundsen–Ross Sea and the western Indian Ocean sectors exhibit significant positive (negative) sea-ice anomalies, accompanied by negative (positive) sea-ice anomalies in the Bellingshausen Sea and the Weddell Sea. Planetary wave trains, stimulated over the SDP by anomalous rainfall and latent heat release, establish this teleconnection. These planetary wave trains, guided by westerly jets, then spread eastward and poleward, causing atmospheric circulation anomalies that affect Antarctic sea ice. The Antarctic sea-ice anomalies connected to the SDP are mostly consistent with abnormalities in the surface air temperature and wind fields.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142432612","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":"Analysis of gradient wind balance during the rapid intensification of Hurricane Wilma (2005)","authors":"","doi":"10.1016/j.atmosres.2024.107722","DOIUrl":"10.1016/j.atmosres.2024.107722","url":null,"abstract":"<div><div>Understanding the rapid intensification (RI) of Hurricane Wilma (2005) in terms of the maximum wind has been carried out in a series of papers, this study examines the gradient wind balance and imbalance during RI, based on a 72-h Wilma prediction conducted using the Weather Research Forecast Model (WRF) with the 1-km grid resolution. Results show that the pressure gradient force (PGF) near the eyewall increases rapidly during the RI period. The maximum PGF associated with the gradient wind balance is determined by the strong radial gradient of the thermal field near the eyewall, resulting from the warming in the eye and adiabatic cooling near the eyewall. The maximum PGF occurs inside the radius of the maximum wind, causing a convergence region and intense updrafts, which favors RI. In a balanced symmetric framework, the hydrostatic PGF accounts for a major fraction (70 %–90 %) of the predicted PGF, and the secondary circulation is underestimated by the Sawyer-Eliassen equation within the boundary layer, at upper levels and through the intense eyewall updrafts where gradient wind imbalance occurs. The unbalanced force accelerates the boundary-layer radial inflow that contributes to the inward contraction of the eyewall and then enhances the radially inward advection of high absolute angular momentum. The eyewall convection strengthens where the boundary-layer inflows, convergence, and heat and moisture flux are collocated. With the high inertial stability, a sufficient conversion efficiency from energy to kinematic energy favors the RI of Wilma.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142432613","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":"An extreme precipitation event over Dronning Maud Land, East Antarctica - A case study of an atmospheric river event using the Polar WRF Model","authors":"","doi":"10.1016/j.atmosres.2024.107724","DOIUrl":"10.1016/j.atmosres.2024.107724","url":null,"abstract":"<div><div>Extreme precipitation events (EPEs) are crucial in Antarctica, impacting the Antarctic ice sheet's surface mass balance and stability. Comprehensive case studies are essential for better understanding these events and the underlying processes driving them. Here, we investigate an extreme snowfall event in Dronning Maud Land (DML), East Antarctica on November 8 and 9, 2015. This event contributed approximately 22 % of the annual accumulation in less than two days and exhibited high spatial variability in precipitation distribution. We employed a high-resolution atmospheric model specifically optimized for the polar regions (Polar WRF) and ERA5 reanalysis data to analyze the event in detail. Our findings highlight the importance of a blocking high-pressure ridge of record strength that effectively blocked and diverted a strong extratropical cyclone into DML, ultimately leading to the heavy snowfall event. The sudden deepening of the cyclone was initiated by a ‘jet streak’ in the upper atmosphere that steered the system southeastwards towards the Antarctic coast. Notably, we observed an anomalously high poleward moisture transport in the form of a strong atmospheric river on November 7, 2015. This atmospheric river originated in the South Atlantic Ocean and tracked poleward from the 30°S-40°S latitude band. Vertical cross-sections of the model outputs indicate that most of the precipitation was concentrated in regions with steep orography along the path of the atmospheric river. This interaction between the atmospheric river and the steep terrain led to the uplift of maritime air, resulting in heavy snowfall. This study highlights the significance of extreme upper and lower atmospheric conditions in driving intense moisture transport towards coastal DML. The interaction between the atmospheric river and the steep orography contributed to heavy snowfall, underscoring the importance of considering orographic influences in understanding EPEs in Antarctica.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445383","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":"Model sensitivity in predicting extreme precipitation events in urban areas: A case study over Beijing","authors":"","doi":"10.1016/j.atmosres.2024.107719","DOIUrl":"10.1016/j.atmosres.2024.107719","url":null,"abstract":"<div><div>Understanding and forecasting the spatial and temporal distributions of extreme precipitation over urban areas is crucial for effective planning and mitigation efforts. However, this task remains challenging as accurate forecasting depends on properly representing urban surfacees and their interactions with the planetary boundary layer (PBL). We examined the hindcast of an extreme precipitation event over Beijing on 21–22 July 2012. The primary focus was assessing its sensitivity to two widely used PBL parameterizations (MYJ and YSU), two urban parameterizations (SLUCM and BEP_BEM), and two different land-use and land-cover (LULC) datasets.</div><div>Sensitivity experiments were initialized at different times to explore the model dependence on initial conditions. The analyses were conducted over three selected regions: the entire model domain covering the Beijing metropolitan area, an upwind region of Beijing, and the entire urban area of Beijing. The results show that the MYJ PBL scheme performs better than the YSU PBL scheme in capturing near-surface air temperature as well as the location and timing of the heaviest precipitation. The variability in simulated precipitation among the chosen PBL schemes is lower compared to that among different time of initializations. The LULC impacted the spatial distribution of precipitation but its effect on the amount of precipitation was minimal. Overall, using a combination of the MYJ PBL scheme, SLUCM urban parameterization, and locally-enhanced Beijing LULC, and initializing the model simulations at 0000 UTC July 20, 2012, demonstrated superior performance in capturing precipitation levels, despite some spatial discrepancies in the precipitation distribution. The performance of BEP_BEM urban parameterization is similar to SLUCM across various factors such as average rain rate, maximum rain rate, and rain volume. These findings offer valuable insights towards better simulations of extreme precipitation and flooding in rapidly urbanizing areas such as Beijing.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417124","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":"Rainfall characteristics over the Congo Air Boundary Region in southern Africa: A comparison of station and gridded rainfall products","authors":"","doi":"10.1016/j.atmosres.2024.107718","DOIUrl":"10.1016/j.atmosres.2024.107718","url":null,"abstract":"<div><div>Strong meridional rainfall gradients exist between the tropics and subtropics in southwestern Africa, bounded to the north by the moist Congo basin and to the south by the Kalahari Desert. This domain received relatively little scientific attention compared to the rest of southern Africa. In this study, the limited available station data are assessed against six gridded rainfall products (CHIRPS, PERSIANN-CDR, ERA5, GPCC and CPC) for various rainfall characteristics. The nearest neighbour approach was used to match the closest rainfall dataset pixel to each station location, with the assumption that each rain gauge represents observation of various pixels of products, irrespective of product resolution. Results reveal that ERA5, CHIRPS and PERSIANN-CDR tend to represent the monthly rainfall totals and number of rainy days well for most stations although magnitudes and monthly peaks differ. CPC and GPCC tend to perform poorly for magnitudes of rainfall, rainy days and monthly cycles especially for Angolan stations. These products also fail to adequately capture spatial distributions of rainfall, with poor representation of the strong gradients found in the region.</div><div>Correlations between various gridded rainfall products mostly show good agreement in rainfall totals and rainy days. For early summer (October–November-December) moderate rainy days, ERA5 and CHIRPS products tend to have more days than the stations while CPC and GPCC products perform poorly over Angola and in the south. ERA5 generally overestimates rainfall in mountainous regions, while other products tend to underestimate it. Based on the Simple Daily Intensity Index, it was found that for most of the gridded rainfall products tend to overestimate rainfall during rainy days in the northern and wetter part of the domain. Furthermore, for heavy rainfall, CPC and GPCC tend to compare fairly well with stations in the southern and eastern parts of the domain but poorly with those in the western parts. PERSIANN-CDR tends to underestimate heavy rainy days for most stations in early and late summer (January–February-March-April). However, CHIRPS compares well at several stations, while ERA5 performs well for stations located in the south. This study helps provide useful guidance in choosing suitable rainfall gridded datasets for assessing long term rainfall cycles, daily rainfall characteristics as well as extremes over southwestern Africa.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417125","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":"Microphysical characteristics of torrential predecessor rain events over the Yangtze River Delta Area and the related tropical cyclones","authors":"","doi":"10.1016/j.atmosres.2024.107715","DOIUrl":"10.1016/j.atmosres.2024.107715","url":null,"abstract":"&lt;div&gt;&lt;div&gt;The precipitation structures and microphysical characteristics of predecessor rain events (PREs) over the Yangtze River Delta area and related tropical cyclones (TCs) from 2014 to 2019 were investigated using Dual-frequency Precipitation radar data from Global Precipitation Measurement (GPM) for drop size distributions (DSDs). Results showed that the total mean rain rate of PREs was larger than that of TCs, primarily due to higher convective and stratiform rain rates, with enhanced fractional coverage of convective rain in PREs. Examination of microphysical characteristics revealed that a greater quantity of small-sized droplets and a smaller quantity of medium- as well as large-sized droplets contributed towards PREs in comparison with TCs. The conclusion still holds when partitioning DSDs based on different precipitation rate categories. Further investigation of DSDs using gamma functions illustrated that precipitation in PREs had lower average mass-weighted diameters (D&lt;sub&gt;m&lt;/sub&gt;) and enhanced normalized number concentration (N&lt;sub&gt;w&lt;/sub&gt;) compared with TCs; partitioning precipitation into convective and stratiform components illustrated a larger D&lt;sub&gt;m&lt;/sub&gt; and lower N&lt;sub&gt;w&lt;/sub&gt; in TCs than PREs. The analysis of microphysical and thermodynamical processes using the reanalysis data indicates that relatively intense convective activity with drier conditions may be favorable to enhancing raindrop growth through collision-coalescence processes, as a result of larger D&lt;sub&gt;m&lt;/sub&gt; in TCs than PREs. The empirical relations (Z–R algorithms) applied in different rain regimes (stratiform, convective, and total PREs) revealed significant diversities, relying on weather conditions and geographical locations.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Plain language summary&lt;/h3&gt;&lt;div&gt;The Yangtze River Delta area is an important economic belt in China. Under climate change, observed frequent occurrences of weather extremes of heavy rainfall and tropical cyclones (TCs) exert adverse effects on economic development in this region. Thus, a deep understanding of the mechanism of TCs torrential rainfall in the Yangtze River Delta area is urgently necessary. In this study, we investigated the precipitation patterns and microphysical characteristics of predecessor rain events (PREs) in the Yangtze River Delta region, and their association with TCs in the South China Sea-Western North Pacific Ocean (SCS-WNPO) area from 2014 to 2019. We found that PREs had a higher total mean precipitation rate than TCs. Further examination using gamma functions demonstrated that PREs exhibited lower average mass-weighted diameters (Dm) and higher normalized intercept parameters (Nw) than TCs. This pattern persisted when distinguishing between convective and stratiform precipitation components. We believe that our study makes a significant contribution to the literature because these results provide valuable insights into the distinct precipitation characteristics of PREs and TCs in the ","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417065","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}