Land Use Land Cover as a Potential Driver of Surface Air Temperature Change Over India

IF 2.5 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Partha Pratim Gogoi, V. Vinoj
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Abstract

Land Use Land Cover (LULC) change is a critical aspect of anthropogenic climate change, with significant implications for the regional and local climate. In India, substantial alterations in LULC patterns have occurred over recent decades, driven by deforestation, urbanization, agricultural expansion, and industrialization. These transformations have impacted local environments and modulated regional climate dynamics, exhibiting considerable variability and uncertainty. This study utilizes gridded and in situ data products to analyze the effects of LULC change on surface air temperature (SAT) in India. Findings indicate that LULC changes have contributed to an increase of approximately 0.54°C in Southern India and 0.44°C in Eastern India, while the North-Western region has experienced a decrease of about 1.5°C. The observed disparities in SAT changes necessitate a comprehensive examination involving multiple variables and evidence. To further elucidate these findings, LULC quantification was conducted to identify the specific types of LULC changes across the three regions. The analysis reveals that the underlying causes of LULC change vary significantly among these regions, enhancing the robustness of the results. In addition, a notable 40%–60% increase in the Normalized Difference Vegetation Index (NDVI) and an 80%–90% rise in evapotranspiration (ET) were recorded in North-Western India as supplementary evidence. This study underscores the need for high-resolution LULC datasets to accurately assess the class-specific contributions to SAT variations across regions. Furthermore, the study points out the necessity for high-resolution modeling approaches to mitigate existing uncertainties in the analysis.

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土地利用:印度地表气温变化的潜在驱动因素
土地利用/土地覆被变化是人为气候变化的一个重要方面,对区域和局地气候具有重要影响。在印度,近几十年来,在森林砍伐、城市化、农业扩张和工业化的推动下,LULC模式发生了重大变化。这些变化影响了局部环境并调节了区域气候动力学,表现出相当大的变异性和不确定性。本研究利用网格化和原位数据产品分析了印度地表气温变化对地表气温(SAT)的影响。研究结果表明,LULC变化导致南印度和东印度的气温分别上升了约0.54°C和0.44°C,而西北地区的气温则下降了约1.5°C。观察到的SAT变化差异需要涉及多个变量和证据的综合检查。为了进一步阐明这些发现,我们进行了LULC量化,以确定三个地区的LULC变化的具体类型。分析表明,各区域的土地利用成本变化的根本原因存在显著差异,增强了研究结果的稳健性。此外,印度西北部的归一化植被指数(NDVI)增加了40% ~ 60%,蒸散量(ET)增加了80% ~ 90%,作为补充证据。这项研究强调需要高分辨率的LULC数据集来准确评估不同类别对不同地区SAT变化的贡献。此外,该研究还指出了采用高分辨率建模方法来减轻分析中存在的不确定性的必要性。
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来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
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