Impact of dynamic snow density on Globsnow snow water equivalent retrieval accuracy. DOI: 10.5194/tc
type: Document
description: 15-2969-2021 - No further details.

HUT Snow Emission Model and its Applicability to Snow Water Equivalent Retrieval. DOI: 10.1109/36.763302
type: Document
description: No further details.

Climate Research Data Package (CRDP)
type: Document
description: No further details.

Mapping of snow water equivalent and snow depth in boreal and sub
type: Document
description: arctic zones by assimilating space-borne microwave radiometer data and ground-based observations. DOI: 10.1016/j.rse.2006.01.002 - No further details.

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description: This dataset contains v3.1 of the Daily Snow Water Equivalent (SWE) product from the ESA Climate Change Initiative (CCI) Snow project, at 0.1 degree resolution.Snow water equivalent (SWE) is the depth of liquid water that would result if the of snow cover melted completely, which equates to the snow cover mass per unit area. The SWE product covers the Northern Hemisphere from 1979/01 to 2022/05 with complex terrain, land ice, and large lakes masked. The dataset covers the Northern Hemisphere winter season (October â May; occasional data produced during June and September) at a daily frequency starting in October 1987 and every second day from 1979 to May 1987. Retrievals are not produced for coastal regions of Greenland. The product combines passive microwave data with ground-based snow depth measurements, via Bayesian non-linear iterative assimilation, to estimate SWE. It is based on data from the recalibrated enhanced resolution CETB ESDR dataset (MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature (CETB) Earth System Data Record (ESDR) https://nsidc.org/pmesdr/data/), resampled to the 12.5km EASE-Grid 2.0. A background snow-depth field, derived from re-gridded snow-depth observations made at synoptic weather stations, and a passive microwave emission model are the key components of the retrieval scheme. Snow density, which varies in both time and space, is parameterized from interpolated in situ observations from snow courses and snow pillows equipped with co-located snow depth sensors.The dataset is aimed to serve the needs of users working on climate research and monitoring activities, including the detection of variability and trends, climate modelling, and aspects of hydrology and meteorology.The Finnish Meteorological Institute is responsible for the SWE product generation. The SWE development is carried out in collaboration by FMI and Environment and Climate Change Canada (ECCC). Changes from v2.0 and v3.0v3.…
language: EN
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  label: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
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CatalogRecord
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modified: 2026-08-05T00:47:42Z

Takala et al, 2011, Estimating northern hemisphere snow water equivalent for climate research through assimilation of space
type: Document
description: borne radiometer data and ground-based measurements, Remote Sensing of Environment. DOI:10.1016/j.rse.2011.08.014 - No further details.

Snow CCI webpages
type: Document
description: No further details.

Product User Guide
type: Document
description: No further details.

ESA Climate Change Initiative website
type: Document
description: No further details.

Technical Documentation for Snow CCI
type: Document
description: No further details.

EARTH SCIENCE>CLIMATE INDICATORS>CRYOSPHERIC INDICATORS>SNOW COVER
type: Concept
in scheme: https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/sciencekeywords

CEDA Data Catalogue Page
type: Document
description: Detail and access information for the resource