Transition of the Karakoram anomaly under emerging hydroclimatic trends

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F25%3A00645620" target="_blank" >RIV/67985807:_____/25:00645620 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.scitotenv.2025.180678" target="_blank" >https://doi.org/10.1016/j.scitotenv.2025.180678</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.scitotenv.2025.180678" target="_blank" >10.1016/j.scitotenv.2025.180678</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Transition of the Karakoram anomaly under emerging hydroclimatic trends

Popis výsledku v původním jazyce

The presence of a Karakoram Anomaly (KA) where, in contrast to most global glaciers, regional glaciers are reported to have either stable or quasi-positive mass balance commonly has been challenged by recent glacier mass balance studies in response to decadal variability in temperature and precipitation. Here, we examine the amplitude and temporal evolution of the KA by observing hydroclimatic (temperature, precipitation, snow and streamflow) trends in the extensive snow/glacier-fed Hunza River Basin (HRB). We use daily time series of in situ hydroclimatic data in combination with (reanalysis/satellite) products (1995–2021), and MODIS Snow Covered Area (SCA) (2001–2020) to quantify the persistence of KA. The Wavelet Transfer Function (WTF), Innovative Trend Analysis (ITA), and Mann-Kendall (MK) tests validated the direction and extent of secular hydroclimatic trends. We further establish a hydroclimatic relationship for HRB using an Artificial Neural Networks (ANNs) incorporating more extensive variables of relative humidity and solar radiation for the model robustness. Transitioning of the KA to glacier mass loss is confirmed to be a result of climatic trends, and specifically summertime — focused enhanced intense warming, have triggered regional snow cover removal and increased streamflow. Mean annual near-surface temperatures in Khunjerab significantly increased by 0.33 and 0.26 n/decade from (1995–2021) based on analyses of data from ERA5 and stations, respectively. The SCA trends are primarily negative in summer and positive in winter, corresponding to enhanced winter flows. The WTF and ITA indicate a significant decline in SC during January, April, May, August and October. Temperature exhibits a significant causal relationship with streamflow, snow and relative humidity. Granger’s index and ANNs demonstrate that 2-m temperatures, snow cover, relative humidity, and solar radiation have stronger correlations to streamflow than precipitation.

Název v anglickém jazyce

Transition of the Karakoram anomaly under emerging hydroclimatic trends

Popis výsledku anglicky

The presence of a Karakoram Anomaly (KA) where, in contrast to most global glaciers, regional glaciers are reported to have either stable or quasi-positive mass balance commonly has been challenged by recent glacier mass balance studies in response to decadal variability in temperature and precipitation. Here, we examine the amplitude and temporal evolution of the KA by observing hydroclimatic (temperature, precipitation, snow and streamflow) trends in the extensive snow/glacier-fed Hunza River Basin (HRB). We use daily time series of in situ hydroclimatic data in combination with (reanalysis/satellite) products (1995–2021), and MODIS Snow Covered Area (SCA) (2001–2020) to quantify the persistence of KA. The Wavelet Transfer Function (WTF), Innovative Trend Analysis (ITA), and Mann-Kendall (MK) tests validated the direction and extent of secular hydroclimatic trends. We further establish a hydroclimatic relationship for HRB using an Artificial Neural Networks (ANNs) incorporating more extensive variables of relative humidity and solar radiation for the model robustness. Transitioning of the KA to glacier mass loss is confirmed to be a result of climatic trends, and specifically summertime — focused enhanced intense warming, have triggered regional snow cover removal and increased streamflow. Mean annual near-surface temperatures in Khunjerab significantly increased by 0.33 and 0.26 n/decade from (1995–2021) based on analyses of data from ERA5 and stations, respectively. The SCA trends are primarily negative in summer and positive in winter, corresponding to enhanced winter flows. The WTF and ITA indicate a significant decline in SC during January, April, May, August and October. Temperature exhibits a significant causal relationship with streamflow, snow and relative humidity. Granger’s index and ANNs demonstrate that 2-m temperatures, snow cover, relative humidity, and solar radiation have stronger correlations to streamflow than precipitation.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

10510 - Climatic research

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Science of the Total Environment

ISSN

0048-9697

e-ISSN

1879-1026

Svazek periodika

1006

Číslo periodika v rámci svazku

December

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

14

Strana od-do

180678

Kód UT WoS článku

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EID výsledku v databázi Scopus

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