Lake surface water temperature (LSWT) is sensitive to climate change. Previous studies have found that LSWT warming is occurring on a global scale and is expected to continue in the future. Recently, new global LSWT data products have been generated using satellite remote sensing, which provides an inimitable opportunity to study the LSWT response to global warming. Based on the satellite observations, we found that the warming rate of global lakes is uneven, with apparent regional differences. Indeed, comparing the LSWT warming in different climate zones (from arid to humid), the lakes in drylands experienced more significant warming (0.28 °C decade−1) than those in semi‐humid and humid regions (0.19 °C decade−1) during previous decades (1995– 2016). By further quantifying the impact factors, it showed that the LSWT warming is attributed to air temperature (74.4%), evaporation (4.1%), wind (9.9%), cloudiness (4.3%), net shortwave (3.1%), and net longwave (4.0%) over the lake surface. Air temperature is the main driving force for the warming of most global lakes, so the first estimate quantification of future LSWT trends can be determined from air temperature projections. By the end of the 21st century, the summer air temperature would warm up to 1.0 °C (SSP1‐2.6) and 6.3 °C (SSP5‐8.5) over lakes, with a more significant warming trend over the dryland lakes. Combined with their higher warming sensitivity, the excess summer LSWT warming in drylands is expected to continue, which is of great significance because of their high relevance in these water‐limited regions.
Enhanced warming in global dryland lakes and its drivers / Wang, S.; He, Y.; Hu, S.; Ji, F.; Wang, B.; Guan, X.; Piccolroaz, S.. - In: REMOTE SENSING. - ISSN 2072-4292. - ELETTRONICO. - 14:1(2022), p. 86. [10.3390/rs14010086]
Scheda prodotto non validato
I dati visualizzati non sono stati ancora sottoposti a validazione formale da parte dello Staff di IRIS, ma sono stati ugualmente trasmessi al Sito Docente Cineca (Loginmiur).
|Titolo:||Enhanced warming in global dryland lakes and its drivers|
|Autori:||Wang, S.; He, Y.; Hu, S.; Ji, F.; Wang, B.; Guan, X.; Piccolroaz, S.|
|Titolo del periodico:||REMOTE SENSING|
|Anno di pubblicazione:||2022|
|Numero e parte del fascicolo:||1|
|Codice identificativo Scopus:||2-s2.0-85121715894|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.3390/rs14010086|
|Citazione:||Enhanced warming in global dryland lakes and its drivers / Wang, S.; He, Y.; Hu, S.; Ji, F.; Wang, B.; Guan, X.; Piccolroaz, S.. - In: REMOTE SENSING. - ISSN 2072-4292. - ELETTRONICO. - 14:1(2022), p. 86. [10.3390/rs14010086]|
|Appare nelle tipologie:|