Pub Date : 2023-06-05DOI: 10.1007/s41748-023-00346-0
Esubalew Adem, A. Chaabani, A. Elfeki, Lifu Zhang, M. Elhag
{"title":"SBAS-InSAR/GNSS Surface Deformation Assessment in Arid Environments of Najran, Saudi Arabia","authors":"Esubalew Adem, A. Chaabani, A. Elfeki, Lifu Zhang, M. Elhag","doi":"10.1007/s41748-023-00346-0","DOIUrl":"https://doi.org/10.1007/s41748-023-00346-0","url":null,"abstract":"","PeriodicalId":45867,"journal":{"name":"Earth Systems and Environment","volume":"9 1","pages":"601 - 616"},"PeriodicalIF":7.2,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77979843","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 : 2023-05-06DOI: 10.1007/s41748-023-00344-2
Hassan Amouzay, R. Chakir, S. Dabo‐Niang, Ahmed El Ghini
{"title":"Structural Changes in Temperature and Precipitation in MENA Countries","authors":"Hassan Amouzay, R. Chakir, S. Dabo‐Niang, Ahmed El Ghini","doi":"10.1007/s41748-023-00344-2","DOIUrl":"https://doi.org/10.1007/s41748-023-00344-2","url":null,"abstract":"","PeriodicalId":45867,"journal":{"name":"Earth Systems and Environment","volume":"03 1","pages":"359 - 380"},"PeriodicalIF":7.2,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85963937","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 : 2023-04-08DOI: 10.1007/s41748-023-00342-4
Aldo S. Moya-Álvarez, R. Estevan, D. Martínez-Castro, Y. Silva
{"title":"Spatial and Temporal Distribution of Black Carbon in Peru from the Analysis of Biomass Burning Sources and the Use of Numerical Models","authors":"Aldo S. Moya-Álvarez, R. Estevan, D. Martínez-Castro, Y. Silva","doi":"10.1007/s41748-023-00342-4","DOIUrl":"https://doi.org/10.1007/s41748-023-00342-4","url":null,"abstract":"","PeriodicalId":45867,"journal":{"name":"Earth Systems and Environment","volume":"46 1","pages":"411 - 430"},"PeriodicalIF":7.2,"publicationDate":"2023-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86330108","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 : 2023-03-24DOI: 10.1007/s41748-023-00343-3
M. J. Horry, Subrata Chakraborty, B. Pradhan, Nagesh Shulka, M. Almazroui
{"title":"Two-Speed Deep-Learning Ensemble for Classification of Incremental Land-Cover Satellite Image Patches","authors":"M. J. Horry, Subrata Chakraborty, B. Pradhan, Nagesh Shulka, M. Almazroui","doi":"10.1007/s41748-023-00343-3","DOIUrl":"https://doi.org/10.1007/s41748-023-00343-3","url":null,"abstract":"","PeriodicalId":45867,"journal":{"name":"Earth Systems and Environment","volume":"80 1","pages":"525 - 540"},"PeriodicalIF":7.2,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78013772","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 : 2023-03-23DOI: 10.1007/s41748-023-00341-5
David Hidalgo García, M. Riza, J. Díaz
{"title":"Land Surface Temperature Relationship with the Land Use/Land Cover Indices Leading to Thermal Field Variation in the Turkish Republic of Northern Cyprus","authors":"David Hidalgo García, M. Riza, J. Díaz","doi":"10.1007/s41748-023-00341-5","DOIUrl":"https://doi.org/10.1007/s41748-023-00341-5","url":null,"abstract":"","PeriodicalId":45867,"journal":{"name":"Earth Systems and Environment","volume":"30 1","pages":"561 - 580"},"PeriodicalIF":7.2,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80855505","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 : 2023-02-25DOI: 10.1007/s41748-023-00340-6
Ahmad E. AlDousari, A. Kafy, Milan Saha, M. Fattah, Arpita Bakshi, Zullyadini A. Rahaman
{"title":"Summertime Microscale Assessment and Prediction of Urban Thermal Comfort Zone Using Remote-Sensing Techniques for Kuwait","authors":"Ahmad E. AlDousari, A. Kafy, Milan Saha, M. Fattah, Arpita Bakshi, Zullyadini A. Rahaman","doi":"10.1007/s41748-023-00340-6","DOIUrl":"https://doi.org/10.1007/s41748-023-00340-6","url":null,"abstract":"","PeriodicalId":45867,"journal":{"name":"Earth Systems and Environment","volume":"1 1","pages":"435 - 456"},"PeriodicalIF":7.2,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83685196","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 : 2023-02-11DOI: 10.1007/s41748-023-00339-z
Md. Hasibul Hasan, Imran Hossain Newton, Md. Arif Chowdhury, Afsana Afrin Esha, Sadmina Razzaque, Mohammad Jobayer Hossain
{"title":"Land Use Land Cover Change and Related Drivers have Livelihood Consequences in Coastal Bangladesh","authors":"Md. Hasibul Hasan, Imran Hossain Newton, Md. Arif Chowdhury, Afsana Afrin Esha, Sadmina Razzaque, Mohammad Jobayer Hossain","doi":"10.1007/s41748-023-00339-z","DOIUrl":"https://doi.org/10.1007/s41748-023-00339-z","url":null,"abstract":"","PeriodicalId":45867,"journal":{"name":"Earth Systems and Environment","volume":"64 1","pages":"541 - 559"},"PeriodicalIF":7.2,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78149871","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 : 2023-01-24DOI: 10.1007/s41748-023-00338-0
B. Dawadi, Shankar Sharma, E. Reynard, Kabindra Shahi
{"title":"Climatology, Variability, and Trend of the Winter Precipitation over Nepal","authors":"B. Dawadi, Shankar Sharma, E. Reynard, Kabindra Shahi","doi":"10.1007/s41748-023-00338-0","DOIUrl":"https://doi.org/10.1007/s41748-023-00338-0","url":null,"abstract":"","PeriodicalId":45867,"journal":{"name":"Earth Systems and Environment","volume":"2006 1","pages":"381 - 391"},"PeriodicalIF":7.2,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76745150","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 : 2023-01-01Epub Date: 2022-12-19DOI: 10.1007/s41748-022-00337-7
Alvaro Avila-Diaz, Roger Rodrigues Torres, Cristian Felipe Zuluaga, Wilmar L Cerón, Lais Oliveira, Victor Benezoli, Irma Ayes Rivera, Jose Antonio Marengo, Aaron B Wilson, Felipe Medeiros
Extreme temperature and precipitation events are the primary triggers of hazards, such as heat waves, droughts, floods, and landslides, with localized impacts. In this sense, the finer grids of Earth System models (ESMs) could play an essential role in better estimating extreme climate events. The performance of High Resolution Model Intercomparison Project (HighResMIP) models is evaluated using the Expert Team on Climate Change Detection and Indices (ETCCDI) over the 1981-2014 period and future changes (2021-2050) under Shared Socioeconomic Pathway SSP5-8.5, over ten regions in Latin America and the Caribbean. The impact of increasing the horizontal resolution in estimating extreme climate variability on a regional scale is first compared against reference gridded datasets, including reanalysis, satellite, and merging products. We used three different groups based on the resolution of the model's grid (sg): (i) low (0.8° ≤ sg ≤ 1.87°), (ii) intermediate (0.5° ≤ sg ≤ 0.7°), and (iii) high (0.23° ≥ sg ≤ 0.35°). Our analysis indicates that there was no clear evidence to support the posit that increasing horizontal resolution improves model performance. The ECMWF-IFS family of models appears to be a plausible choice to represent climate extremes, followed by the ensemble mean of HighResMIP in their intermediate resolution. For future climate, the projections indicate a consensus of temperature and precipitation climate extremes increase across most of the ten regions. Despite the uncertainties presented in this study, climate models have been and will continue to be an important tool for assessing risk in the face of extreme events.
Supplementary information: The online version contains supplementary material available at 10.1007/s41748-022-00337-7.
{"title":"Current and Future Climate Extremes Over Latin America and Caribbean: Assessing Earth System Models from High Resolution Model Intercomparison Project (HighResMIP).","authors":"Alvaro Avila-Diaz, Roger Rodrigues Torres, Cristian Felipe Zuluaga, Wilmar L Cerón, Lais Oliveira, Victor Benezoli, Irma Ayes Rivera, Jose Antonio Marengo, Aaron B Wilson, Felipe Medeiros","doi":"10.1007/s41748-022-00337-7","DOIUrl":"10.1007/s41748-022-00337-7","url":null,"abstract":"<p><p>Extreme temperature and precipitation events are the primary triggers of hazards, such as heat waves, droughts, floods, and landslides, with localized impacts. In this sense, the finer grids of Earth System models (ESMs) could play an essential role in better estimating extreme climate events. The performance of High Resolution Model Intercomparison Project (HighResMIP) models is evaluated using the Expert Team on Climate Change Detection and Indices (ETCCDI) over the 1981-2014 period and future changes (2021-2050) under Shared Socioeconomic Pathway SSP5-8.5, over ten regions in Latin America and the Caribbean. The impact of increasing the horizontal resolution in estimating extreme climate variability on a regional scale is first compared against reference gridded datasets, including reanalysis, satellite, and merging products. We used three different groups based on the resolution of the model's grid (<i>sg</i>): (i) low (0.8° ≤ <i>sg</i> ≤ 1.87°), (ii) intermediate (0.5° ≤ <i>sg</i> ≤ 0.7°), and (iii) high (0.23° ≥ <i>sg</i> ≤ 0.35°). Our analysis indicates that there was no clear evidence to support the posit that increasing horizontal resolution improves model performance. The ECMWF-IFS family of models appears to be a plausible choice to represent climate extremes, followed by the ensemble mean of HighResMIP in their intermediate resolution. For future climate, the projections indicate a consensus of temperature and precipitation climate extremes increase across most of the ten regions. Despite the uncertainties presented in this study, climate models have been and will continue to be an important tool for assessing risk in the face of extreme events.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s41748-022-00337-7.</p>","PeriodicalId":45867,"journal":{"name":"Earth Systems and Environment","volume":"7 1","pages":"99-130"},"PeriodicalIF":7.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762667/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9186436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01Epub Date: 2022-10-08DOI: 10.1007/s41748-022-00329-7
Nur Aina Mazlan, Nurul Ain Mohd Zaki, Rohayu Haron Narashid, Noorfatekah Talib, Janaki Manokaran, Fadhlina Che Arshad, Shukor Sanim Mohd Fauzi, Nazri Che Dom, Mohammad Valipour, Ramzah Dambul, Stephen Blenkinsop
The unprecedented outbreak of Coronavirus Disease 2019 (COVID-19) has impacted the whole world in every aspect including health, social life, economic activity, education, and the environment. The pandemic has led to an improvement in air quality all around the world, including in Malaysia. Lockdowns have resulted in industry shutting down and road travel decreasing which can reduce the emission of Greenhouse Gases (GHG) and air pollution. This research assesses the impact of the COVID-19 lockdown on emissions using the Air Pollution Index (API), aerosols, and GHG which is Nitrogen Dioxide (NO2) in Malaysia. The data used is from Sentinel-5p and Sentinel-2A which monitor the air quality based on Ozone (O3) and NO2 concentration. Using an interpolated API Index Map comparing 2019, before the implementation of a Movement Control Order (MCO), and 2020, after the MCO period we examine the impact on pollution during and after the COVID-19 lockdown. Data used Sentinel-5p, Sentinel-2A, and Air Pollution Index of Malaysia (APIMS) to monitor the air quality that contains NO2 concentration. The result has shown the recovery in air quality during the MCO implementation which indirectly shows anthropogenic activities towards the environmental condition. The study will help to enhance and support the policy and scope for air pollution management strategies as well as raise public awareness of the main causes that contribute to air pollution.
{"title":"COVID-19 Restriction Movement Control Order (MCO) Impacted Emissions of Peninsular Malaysia Using Sentinel-2a and Sentinel-5p Satellite.","authors":"Nur Aina Mazlan, Nurul Ain Mohd Zaki, Rohayu Haron Narashid, Noorfatekah Talib, Janaki Manokaran, Fadhlina Che Arshad, Shukor Sanim Mohd Fauzi, Nazri Che Dom, Mohammad Valipour, Ramzah Dambul, Stephen Blenkinsop","doi":"10.1007/s41748-022-00329-7","DOIUrl":"10.1007/s41748-022-00329-7","url":null,"abstract":"<p><p>The unprecedented outbreak of Coronavirus Disease 2019 (COVID-19) has impacted the whole world in every aspect including health, social life, economic activity, education, and the environment. The pandemic has led to an improvement in air quality all around the world, including in Malaysia. Lockdowns have resulted in industry shutting down and road travel decreasing which can reduce the emission of Greenhouse Gases (GHG) and air pollution. This research assesses the impact of the COVID-19 lockdown on emissions using the Air Pollution Index (API), aerosols, and GHG which is Nitrogen Dioxide (NO<sub>2</sub>) in Malaysia. The data used is from Sentinel-5p and Sentinel-2A which monitor the air quality based on Ozone (O<sub>3</sub>) and NO<sub>2</sub> concentration. Using an interpolated API Index Map comparing 2019, before the implementation of a Movement Control Order (MCO), and 2020, after the MCO period we examine the impact on pollution during and after the COVID-19 lockdown. Data used Sentinel-5p, Sentinel-2A, and Air Pollution Index of Malaysia (APIMS) to monitor the air quality that contains NO<sub>2</sub> concentration. The result has shown the recovery in air quality during the MCO implementation which indirectly shows anthropogenic activities towards the environmental condition. The study will help to enhance and support the policy and scope for air pollution management strategies as well as raise public awareness of the main causes that contribute to air pollution.</p>","PeriodicalId":45867,"journal":{"name":"Earth Systems and Environment","volume":"7 1","pages":"347-358"},"PeriodicalIF":5.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547097/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10621381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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