Results 81 to 90 of about 23,018 (263)
This study reveals how climate change alters the water cycle in the Three Rivers Source region by degrading its important ‘solid groundwater’ (seasonally frozen ground). We found that runoff response varies by watershed and the role of permafrost decreases sharply, making water supply more dependent on rainfall and becoming increasingly vulnerable ...
Chenchen Ren +6 more
wiley +1 more source
Changing Water Resources in the Indus Basin: A Multi‐Model Budyko‐Based Analysis
Budyko‐based analysis evaluates historical (1962–2005) and future hydroclimatic change across the Indus River Basin. Budyko shifts indicate rising atmospheric evaporative demand and increasing energy limitation under future scenarios. ABSTRACT Assessing hydroclimatic variability and future water availability is crucial for sustainable water‐resource ...
Muhammad Arif +3 more
wiley +1 more source
Abstract The Burren uplands in western Ireland form one of the most extensive and best‐preserved examples of glacio‐karst in Europe. Subsumed by the Irish ice sheet during the Late Pleistocene, granite erratic boulders and in situ silica veins in the limestone bedrock provide a rare opportunity to reconstruct the timing and rate of deglaciation ...
Gordon Bromley +4 more
wiley +1 more source
ABSTRACT Constraining Arctic catchment response to Holocene climate change is vital for understanding future environments. We present detailed sedimentological, geochemical and grain size end‐member analysis of two Holocene (~7.0 ka to present) lake sequences, S1 and S2, close to Zackenberg, Northeast Greenland.
Kathryn Adamson +6 more
wiley +1 more source
Modelling the spatial variability of maximum mountain snow depth in Northern Norway
Snow depth is highly variant in wind-dominant mountain environments. The variation is especially high at local scales. Winter maximum snow depth influences the ground temperatures and the beginning of the growing season.
Pauliina Björk
doaj
Assimilation of L-band interferometric synthetic aperture radar (InSAR) snow depth retrievals for improved snowpack quantification [PDF]
The integration of snow hydrology models and remote sensing observations via data assimilation is a promising method to capture the dynamics of seasonal snowpacks at a high spatial resolution and to reduce uncertainty with respect to snow water resources.
P. Shrestha, A. P. Barros
doaj +1 more source
Predicting snow depth with people
Meteorologists are using a technique based on human observations to calibrate a Doppler radar method of predicting how much snow will fall in major storms.In a new program sponsored by the National Oceanic and Atmospheric Administration (NOAA), several dozen volunteers will record information about the shape and size of snowflakes and measure the depth
openaire +1 more source
ABSTRACT The northern European distal cryptotephra framework is constantly developing both in terms of identification of new tephra horizons and improved age constraints for the already well‐established tephra marker horizons. However, many prehistoric tephra layers have only been dated by the radiocarbon method, with its inherent problems.
Maarit Kalliokoski +2 more
wiley +1 more source
Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq +7 more
wiley +1 more source
Abstract Particles sinking from the surface to the deep ocean play a key role in the biological carbon pump, whose efficiency depends partly on sinking velocities. Over the last decade, in situ imaging has enabled critical advances in our understanding of particle dynamics in the ocean.
Manon Laget +5 more
wiley +1 more source

