Arctic mercury cycling

A Dastoor, H Angot, J Bieser, JH Christensen… - Nature Reviews Earth & …, 2022 - nature.com
Anthropogenic mercury (Hg) emissions have driven marked increases in Arctic Hg levels,
which are now being impacted by regional warming, with uncertain ecological …

Review of advances in precipitation enhancement research

AI Flossmann, M Manton, A Abshaev… - Bulletin of the …, 2019 - journals.ametsoc.org
This paper provides a summary of the assessment report of the World Meteorological
Organization (WMO) Expert Team on Weather Modification that discusses recent progress …

How well are we measuring snow post-SPICE?

J Kochendorfer, M Earle, R Rasmussen… - Bulletin of the …, 2022 - journals.ametsoc.org
Accurate snowfall measurements are necessary for meteorology, hydrology, and climate
research. Typical uses include creating and calibrating gridded precipitation products, the …

Multi-decadal analysis of past winter temperature, precipitation and snow cover data in the European Alps from reanalyses, climate models and observational datasets

D Monteiro, S Morin - The Cryosphere, 2023 - tc.copernicus.org
Assessing past distributions, variability and trends in the mountain snow cover and its first-
order drivers, temperature and precipitation, is key for a wide range of studies and …

The impact of meteorological forcing uncertainty on hydrological modeling: A global analysis of cryosphere basins

G Tang, MP Clark, WJM Knoben, H Liu… - Water Resources …, 2023 - Wiley Online Library
Meteorological forcing is a major source of uncertainty in hydrological modeling. The recent
development of probabilistic large‐domain meteorological data sets enables convenient …

[HTML][HTML] EMDNA: An ensemble meteorological dataset for North America

G Tang, MP Clark, SM Papalexiou… - Earth System …, 2021 - essd.copernicus.org
Probabilistic methods are useful to estimate the uncertainty in spatial meteorological fields
(eg, the uncertainty in spatial patterns of precipitation and temperature across large …

[PDF][PDF] Adjustment of measurement errors to reconcile precipitation distribution in the high-altitude Indus basin

ZH Dahri, E Moors, F Ludwig… - … 2018; 38: 3842 …, 2018 - idl-bnc-idrc.dspacedirect.org
Quantitative and spatiotemporal distributions of precipitation estimated by previous studies
in the high-altitude Indus basin are highly contrasting and uncertain. This research …

[HTML][HTML] Snowfall and snow accumulation during the MOSAiC winter and spring seasons

DN Wagner, MD Shupe, C Cox, OG Persson… - The …, 2022 - tc.copernicus.org
Data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC)
expedition allowed us to investigate the temporal dynamics of snowfall, snow accumulation …

[HTML][HTML] Evaluation of the WMO Solid Precipitation Intercomparison Experiment (SPICE) transfer functions for adjusting the wind bias in solid precipitation …

CD Smith, A Ross, J Kochendorfer… - Hydrology and Earth …, 2020 - hess.copernicus.org
Abstract The World Meteorological Organization (WMO) Solid Precipitation Intercomparison
Experiment (SPICE) involved extensive field intercomparisons of automated instruments for …

Sub-kilometer precipitation datasets for snowpack and glacier modeling in alpine terrain

V Vionnet, D Six, L Auger, M Dumont… - Frontiers in Earth …, 2019 - frontiersin.org
Capturing the spatial and temporal variability of precipitation at fine scale is necessary for
high-resolution modeling of snowpack and glacier mass balance in alpine terrain. In this …