Pub Date : 2023-10-04DOI: 10.1007/s40808-023-01877-1
Ruchiru D. Herath, Uttam Pawar, Dushyantha M. Aththanayake, Kushan D. Siriwardhana, Dimantha I. Jayaneththi, Chatura Palliyaguru, Miyuru B. Gunathilake, Upaka Rathnayake
{"title":"Rainfall-runoff-inundation (RRI) model for Kalu River, Sri Lanka","authors":"Ruchiru D. Herath, Uttam Pawar, Dushyantha M. Aththanayake, Kushan D. Siriwardhana, Dimantha I. Jayaneththi, Chatura Palliyaguru, Miyuru B. Gunathilake, Upaka Rathnayake","doi":"10.1007/s40808-023-01877-1","DOIUrl":"https://doi.org/10.1007/s40808-023-01877-1","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135591532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-30DOI: 10.1007/s40808-023-01868-2
Ahmed Saleh, Fayez N. Ibrahim, M. A. M. Sharaf
{"title":"Mathematical model for expanding suitable areas for fish survival in a polluted river by using the solution of the two coupled pollution and aeration equations","authors":"Ahmed Saleh, Fayez N. Ibrahim, M. A. M. Sharaf","doi":"10.1007/s40808-023-01868-2","DOIUrl":"https://doi.org/10.1007/s40808-023-01868-2","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136341539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-30DOI: 10.1007/s40808-023-01863-7
Luana Possari Maziero, Sérgio Augusto Rodrigues, Alexandre Dal Pai, Camila Pires Cremasco, Luís Roberto Almeida Gabriel Filho
{"title":"Comparison of the performance of multiple imputation models in filling gaps in hourly and daily meteorological series from two locations in the state of São Paulo-Brazil","authors":"Luana Possari Maziero, Sérgio Augusto Rodrigues, Alexandre Dal Pai, Camila Pires Cremasco, Luís Roberto Almeida Gabriel Filho","doi":"10.1007/s40808-023-01863-7","DOIUrl":"https://doi.org/10.1007/s40808-023-01863-7","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136337383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-29DOI: 10.1007/s40808-023-01858-4
Heather S. Sussman, Aiguo Dai, Ajay Raghavendra, Liming Zhou
{"title":"An evaluation of WRF urban canopy models over Bengaluru, India","authors":"Heather S. Sussman, Aiguo Dai, Ajay Raghavendra, Liming Zhou","doi":"10.1007/s40808-023-01858-4","DOIUrl":"https://doi.org/10.1007/s40808-023-01858-4","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135246873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-28DOI: 10.1007/s40808-023-01864-6
Sangeetha Gaikadi, Vasantha Kumar Selvaraj
{"title":"Allometric model based estimation of biomass and carbon stock for individual and overlapping trees using terrestrial LiDAR","authors":"Sangeetha Gaikadi, Vasantha Kumar Selvaraj","doi":"10.1007/s40808-023-01864-6","DOIUrl":"https://doi.org/10.1007/s40808-023-01864-6","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135344824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-28DOI: 10.1007/s40808-023-01866-4
Mouhcine Naim, Zakaria Yaagoub, Anwar Zeb, Marya Sadki, Karam Allali
{"title":"Global analysis of a fractional-order viral model with lytic and non-lytic adaptive immunity","authors":"Mouhcine Naim, Zakaria Yaagoub, Anwar Zeb, Marya Sadki, Karam Allali","doi":"10.1007/s40808-023-01866-4","DOIUrl":"https://doi.org/10.1007/s40808-023-01866-4","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135386323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-27DOI: 10.1007/s40808-023-01871-7
Amina Amel Adem, Fouzia Houma Bachari, Boualem Hamdi, Yasmine Belkacem, Nour El Islam Bachari
{"title":"Assessment of coastal water characteristics near brine discharge sites by applying multivariate statistical techniques and GIS, case study from BouIsmail Bay, Algeria","authors":"Amina Amel Adem, Fouzia Houma Bachari, Boualem Hamdi, Yasmine Belkacem, Nour El Islam Bachari","doi":"10.1007/s40808-023-01871-7","DOIUrl":"https://doi.org/10.1007/s40808-023-01871-7","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135537263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-27DOI: 10.1007/s40808-023-01860-w
Tarik Chafiq, Mohamed Hmamou, Imrane Ouhammou, Rida Azmi, Manoj Kumar
{"title":"Modelling change detection for unveiling urban transitions: using machine learning algorithms and Sentinel-2 data in Larache City, Morocco","authors":"Tarik Chafiq, Mohamed Hmamou, Imrane Ouhammou, Rida Azmi, Manoj Kumar","doi":"10.1007/s40808-023-01860-w","DOIUrl":"https://doi.org/10.1007/s40808-023-01860-w","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135537458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-26DOI: 10.1007/s40808-023-01867-3
Bernard Mmame, Cosmo Ngongondo
Abstract Malawi, a developing country in southeast Africa, is one of the most vulnerable countries to climate change and associated impacts. Availability of observed data to inform our knowledge on climate change is however, a key challenge and has led to relatively little research in the subject. Alternative climate data products, such as the Global Climate Models (GCMs) phase6 of Coupled Model Intercomparison Project (CMIP6), accords the chance to bridge this knowledge gap. These products however, need some validation against observed data to ascertain their level of performance. This study therefore, evaluates the ability of nineteen CMIP6 models in simulating both annual and seasonal temperature and precipitation over Malawi from 1980 to 2014. Observed Model performance metrics such as bias, root mean square error (RMSE), spatial correlation coefficient, standard deviation and Percentage Bias (PBIAS) were employed to assess the ability of the individual models. Our quantitative analysis shows that most of the models could simulate both temperature and precipitation over the study area, with correlation coefficient values of over 0.70, RMSE values between 0.9 and 2.0 and PBIAS of $$le$$ ≤ 10%. The results are suggesting better performance of CMIP6 than those reported in previous studies over the study domain using CMIP3 and CMIP5 model datasets. Of all the nineteen models evaluated in this study, no single model performed best compared to observed dataset, because the models are varying in performance from season to season. Hence, climate end users are advised to use simulations of temperature and precipitation over the study area from CMIP6 models with care for decision making on the mitigation and adaptation of climate change.
马拉维是非洲东南部的一个发展中国家，是最容易受到气候变化及其相关影响的国家之一。然而，能否获得观测数据来充实我们对气候变化的认识是一项关键挑战，并导致这方面的研究相对较少。替代气候数据产品，如耦合模式比较项目(CMIP6)的全球气候模式(GCMs)阶段，提供了弥补这一知识差距的机会。但是，这些产品需要根据观察到的数据进行验证，以确定其性能水平。因此，本研究评估了19个CMIP6模式模拟马拉维1980 - 2014年年和季节温度和降水的能力。采用偏差、均方根误差(RMSE)、空间相关系数、标准差和百分比偏差(PBIAS)等观察到的模型性能指标来评估单个模型的能力。定量分析表明，大部分模式均能模拟研究区温度和降水，相关系数均在0.70以上，RMSE值在0.9 ～ 2.0之间，PBIAS值$$le$$≤10%. The results are suggesting better performance of CMIP6 than those reported in previous studies over the study domain using CMIP3 and CMIP5 model datasets. Of all the nineteen models evaluated in this study, no single model performed best compared to observed dataset, because the models are varying in performance from season to season. Hence, climate end users are advised to use simulations of temperature and precipitation over the study area from CMIP6 models with care for decision making on the mitigation and adaptation of climate change.
{"title":"Evaluation of CMIP6 model skills in simulating tropical climate extremes over Malawi, Southern Africa","authors":"Bernard Mmame, Cosmo Ngongondo","doi":"10.1007/s40808-023-01867-3","DOIUrl":"https://doi.org/10.1007/s40808-023-01867-3","url":null,"abstract":"Abstract Malawi, a developing country in southeast Africa, is one of the most vulnerable countries to climate change and associated impacts. Availability of observed data to inform our knowledge on climate change is however, a key challenge and has led to relatively little research in the subject. Alternative climate data products, such as the Global Climate Models (GCMs) phase6 of Coupled Model Intercomparison Project (CMIP6), accords the chance to bridge this knowledge gap. These products however, need some validation against observed data to ascertain their level of performance. This study therefore, evaluates the ability of nineteen CMIP6 models in simulating both annual and seasonal temperature and precipitation over Malawi from 1980 to 2014. Observed Model performance metrics such as bias, root mean square error (RMSE), spatial correlation coefficient, standard deviation and Percentage Bias (PBIAS) were employed to assess the ability of the individual models. Our quantitative analysis shows that most of the models could simulate both temperature and precipitation over the study area, with correlation coefficient values of over 0.70, RMSE values between 0.9 and 2.0 and PBIAS of $$le$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mo>≤</mml:mo> </mml:math> 10%. The results are suggesting better performance of CMIP6 than those reported in previous studies over the study domain using CMIP3 and CMIP5 model datasets. Of all the nineteen models evaluated in this study, no single model performed best compared to observed dataset, because the models are varying in performance from season to season. Hence, climate end users are advised to use simulations of temperature and precipitation over the study area from CMIP6 models with care for decision making on the mitigation and adaptation of climate change.","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134885228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-25DOI: 10.1007/s40808-023-01859-3
Chhanu Sutradhar, Debapriya Poddar, Jayanta Das
{"title":"Optimization of conditioning factors for groundwater potential zonation using GIS-based single parameter and map removal sensitivity analysis in Alipurduar district of West Bengal, India","authors":"Chhanu Sutradhar, Debapriya Poddar, Jayanta Das","doi":"10.1007/s40808-023-01859-3","DOIUrl":"https://doi.org/10.1007/s40808-023-01859-3","url":null,"abstract":"","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135815626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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