Meteorological Applications最新文献

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":"33 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148066533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surface Mesovortices Formation and Maintenance in the St. Louis Metropolitan Area","authors":"Sen Chiao,&nbsp;Robert Pasken","doi":"10.1002/met.70176","DOIUrl":"10.1002/met.70176","url":null,"abstract":"<p>This study investigates the formation of reoccurring surface mesovortices within the Saint Louis Metropolitan Area. Prior research has shown the presence of surface mesovortices downwind from urban areas; however, the time evolution of the three-dimensional (3D) structure of these mesovortices is not well documented. Two instances of surface vortices associated with the urban heat island and affected by the terrain are investigated using the Weather Research Forecasting (WRF) model. The surface mesonet data over the Saint Louis Metropolitan area were assimilated with the WRF model to investigate the structure of these mesovortices. High-resolution simulations (i.e., 333-m grid spacing) were conducted when mesovortices were observed. Model results were then evaluated to determine the full 3D structure of the vortices and the formation of such surface vortices. The WRF simulations were able to recapture the observed surface structure of the vortices. The simulation results suggest that the interaction between the Saint Louis urban heat island (UHI), the Mississippi River, and topographic effects moderates the low-level wind field, creating the surface mesovortices.</p>","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":"33 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/met.70176","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":"33 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148063805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Verification of Calibrated Multimodel Subseasonal Precipitation Predictions Cascaded From Global to Regional Scale Over Ceará State in Brazil","authors":"Caio A. S. Coelho,&nbsp;Francisco C. Vasconcelos Junior,&nbsp;Denis H. Cardoso,&nbsp;Eduardo S. P. R. Martins,&nbsp;Bruno S. Guimarães","doi":"10.1002/met.70179","DOIUrl":"10.1002/met.70179","url":null,"abstract":"<p>This paper assesses a multimodel subseasonal prediction system developed to produce calibrated global and regional precipitation subseasonal predictions for Northeast Brazil, including Ceará State, located within this region. This system was developed using four global models, based on a linear regression procedure of retrospective predictions on past observations for calibrating the multimodel ensemble mean of these models. The procedure used 1° by 1° spatial resolution retrospective predictions initialized on Wednesdays over the common 1999–2016 period for all models. For producing predictions over Ceará, the regression procedure was applied at a finer (0.15° by 0.15°) resolution using interpolated observations. This statistical downscaling procedure allows cascading predictions from global to regionally refined scales. The assessment was performed across different timescales—weekly, fortnightly, and extended accumulation periods (30 and 44-days). Predictions expressed as accumulated precipitation anomalies and probability for the occurrence of positive anomalies were evaluated. The global assessment identified Northeast Brazil as a region with notably high subseasonal prediction performance, demonstrating reasonable quality while examining linear association (correlations exceeding 0.4) and discrimination (area under the relative operating characteristic [ROC] curve above 0.6). The benefit of using all available prediction information from the initialization day, taking advantage of initial conditions memory, to enhance longer accumulation periods (14, 30, and 44 days) performance was demonstrated by finding that predictions for these extended periods maintained performance levels comparable to those of Week 1. Longer lead predictions for Weeks 3 and 4, Fortnights 2 and 3 showed similar performance in the tropics, including Northeast Brazil, with correlations exceeding 0.4 and area under ROC curves above 0.6, with El Niño–Southern Oscillation (ENSO), Madden–Julian Oscillation (MJO), and tropical Atlantic variability suggested as potential predictability sources. Downscaled predictions over Ceará maintained similar performance levels to those obtained at coarser spatial resolutions, reassuring the adequacy of the cascading procedure used to generate regional scale predictions. The large uncertainty in the computed skill scores prevented demonstrating the benefit of calibrated multimodel predictions compared to individually calibrated model predictions. A limitation of the implemented approach is the need for high resolution historical precipitation observations to allow generating spatially refined calibrated predictions.</p>","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":"33 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/met.70179","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147682963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":"33 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148061330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":"33 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148061331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wisconet: A Case Study in Meteorological Infrastructure Capacity Development","authors":"Chris Vagasky,&nbsp;Caitlin Wienkes,&nbsp;Izzy Bogot,&nbsp;Mikaela Martiros,&nbsp;David Henry,&nbsp;Christopher J. Kucharik","doi":"10.1002/met.70177","DOIUrl":"10.1002/met.70177","url":null,"abstract":"<p>Meteorological observations with high spatial and temporal resolution are necessary for improved forecasts and early warnings of high impact weather. Meteorological observation infrastructure can be expanded in countries with modernized and developing national meteorological and hydrological services. In the United States, mesoscale weather networks (mesonets) are installed in many states to supplement the existing observational infrastructure, support forecasting and early warnings, and serve multisector stakeholders. Wisconsin's Environmental Mesonet (Wisconet) is one of the newest mesonets in the United States, with 78 weather and soil monitoring stations installed across Wisconsin's 72 counties, and is presented as a case study in expanding meteorological observation infrastructure. Discussed are Wisconet's deployment and maintenance strategy, station design, information technology infrastructure, and considerations for staffing and public outreach. The global applicability of a mesonet deployment for developing meteorological infrastructure capacity is also presented.</p>","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":"33 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/met.70177","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148012015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “Projections of Precipitation and Temperature Changes and Trends Using CMIP6 Global Climate Models in the Eastern Amhara, Northeastern, Ethiopia”","authors":"","doi":"10.1002/met.70175","DOIUrl":"10.1002/met.70175","url":null,"abstract":"<p>Kebede, M. H., A. M. Ahmed, D. A. Birhan, G. A. Damot, and S. A. Legesse. 2026. “Projections of Precipitation and Temperature Changes and Trends Using CMIP6 Global Climate Models in the Eastern Amhara, Northeastern, Ethiopia.” <i>Meteorological Applications</i> 33, no. 1: e70145. https://doi.org/10.1002/met.70145.</p><p>In the published article, the affiliation for Mohammed Hussen Kebede is incorrect. The correct affiliation should read as “Department of Plant Sciences, College of Agriculture and Environmental Sciences, Bahir Dar University, Bahir Dar, Ethiopia”.</p><p>We apologize for this error.</p>","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":"33 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/met.70175","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147684247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 Scenario Based Performance of DSSAT Response to Soil Depth, Initial Soil Water Content and Choice of Zea mays L. Cultivar Selection in Semi-Arid North West Province in South Africa","authors":"Christopher James Rankin,&nbsp;Trevor Lumsden,&nbsp;Shingirai S. Nangombe,&nbsp;Willem Landman,&nbsp;Asmerom Beraki,&nbsp;Mohau Mateyisi","doi":"10.1002/met.70172","DOIUrl":"10.1002/met.70172","url":null,"abstract":"<p>Process-based crop models are widely used to assess crop responses to climate variability, yet their performance is highly sensitive to assumptions regarding soil properties, initial soil water content and cultivar selection, particularly in spatially heterogeneous, rainfed systems. This study evaluates the performance of the DSSAT-CERES-Maize model across the North West Province of South Africa using a fine-scale, quinary catchment-based framework. Four scenario simulations were developed to examine the influence of soil depth, pre-season soil moisture and cultivar choice on simulated maize yields. Model outputs were evaluated against district-level reported yields for the 1981–1999 period using a comprehensive multi-criteria assessment framework incorporating distributional tests, correlation analysis, weighted regression and multiple performance metrics. Results indicate that DSSAT effectively reproduces inter-annual yield variability across spatial scales, with stronger agreement at the district level than at the provincial scale. Scenario performance was highly sensitive to soil depth and initial soil water assumptions, with the scenario incorporating deeper effective rooting depth and intermediate pre-season soil moisture consistently achieving superior agreement across most evaluation criteria. Cultivar selection influenced yield variability, highlighting the importance of representative genetic parameterisation in regional applications. While simulated and reported yield medians did not differ significantly at the district scale, error magnitudes and efficiency metrics varied spatially, reflecting the dominant influence of climate variability under rainfed conditions. These findings demonstrate that spatially explicit, scenario-based evaluation enhances confidence in crop model applications and provides valuable insights for agrometeorological assessments, climate adaptation planning and decision support in semi-arid, water-limited agricultural systems.</p>","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":"33 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/met.70172","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147666324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":"33 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148093631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}