Russian climate studies in 2011–2014

Мохов, И. И.

doi:10.1134/s0001433817050097

Cited by 13 publications

(1 citation statement)

References 173 publications

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“…As temperature rises, convective motion increases [75]; precipitation and water vapor are also increasing in the Arctic Circle [81]. As humidity and clouds in the atmosphere of the Arctic increase, longwave radiation towards the ground likewise increases, contributing to the warming [82]. Therefore, widespread and seasonal warming is accompanied by a feedback mechanism.…”

Section: Potential Climatic Variables Associated With Lst Trendsmentioning

confidence: 99%

Global Land Surface Temperature Change (2003–2017) and Its Relationship with Climate Drivers: AIRS, MODIS, and ERA5-Land Based Analysis

2020

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Land surface temperature (LST) plays a critical role in the water cycle and energy balance at global and regional scales. Large-scale LST estimates can be obtained from satellite observations and reanalysis data. In this study, we first investigate the long-term changes of LST during 2003–2017 on a per-pixel basis using three different datasets derived from (i) the Atmospheric Infrared Sounder (AIRS) onboard Aqua satellite, (ii) the Moderate Resolution Imaging Spectroradiometer (MODIS) also aboard Aqua, and (iii) the recently released ERA5-Land reanalysis data. It was found that the spatio-temporal patterns of these data agree very well. All three products globally showed an uptrend in the annual average LST during 2003–2017 but with considerable spatial variations. The strongest increase was found over the region north of 45° N, particularly over Asian Russia, whereas a slight decrease was observed over Australia. The regression analysis indicated that precipitation (P), incoming surface solar radiation (SW↓), and incoming surface longwave radiation (LW↓) can together explain the inter-annual LST variations over most regions, except over tropical forests, where the inter-annual LST variation is low. Spatially, the LST changes during 2003–2017 over the region north of 45° N were mainly influenced by LW↓, while P and SW↓ played a more important role over other regions. A detailed look at Asian Russia and the Amazon rainforest at a monthly time scale showed that warming in Asian Russia is dominated by LST increases in February–April, which are closely related with the simultaneously increasing LW↓ and clouds. Over the southern Amazon, the most apparent LST increase is found in the dry season (August–September), primarily affected by decreasing P. In addition, increasing SW↓ associated with decreasing atmospheric aerosols was another factor found to cause LST increases. This study shows a high level of consistency among LST trends derived from satellite and reanalysis products, thus providing more robust characteristics of the spatio-temporal LST changes during 2003–2017. Furthermore, the major climatic drivers of LST changes during 2003–2017 were identified over different regions, which might help us predict the LST in response to changing climate in the future.

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Section: Potential Climatic Variables Associated With Lst Trendsmentioning

confidence: 99%

Global Land Surface Temperature Change (2003–2017) and Its Relationship with Climate Drivers: AIRS, MODIS, and ERA5-Land Based Analysis

2020

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Contemporary climate changes: anomalies and trends

Мохов

2019

IOP Conf. Ser.: Earth Environ. Sci.

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Global and regional climate anomalies and trends: Assessment of contribution of natural and anthropogenic factors from observations and model simulations

Мохов

2020

IOP Conf. Ser.: Earth Environ. Sci.

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Trends in current global and regional climate change are estimated based on observations and reanalysis data, as well as on the basis of model simulations. Special attention is paid to climate changes in the Arctic and North Eurasian regions. Temperature and sea ice changes in the Arctic and Antarctic are compared. The processes contributing to the enhancement of regional climate variability are considered. The role of natural and anthropogenic factors in climate change and the ability of models to adequately simulate current climate changes are assessed. Possible changes in relative contribution of natural and anthropogenic CO2 and CH4 emissions in the North Eurasian regions under global warming are discussed.

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Russian climate studies in 2011–2014

Cited by 13 publications

References 173 publications

Global Land Surface Temperature Change (2003–2017) and Its Relationship with Climate Drivers: AIRS, MODIS, and ERA5-Land Based Analysis

Global Land Surface Temperature Change (2003–2017) and Its Relationship with Climate Drivers: AIRS, MODIS, and ERA5-Land Based Analysis

Contemporary climate changes: anomalies and trends

Global and regional climate anomalies and trends: Assessment of contribution of natural and anthropogenic factors from observations and model simulations

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