/Snow_cover_analysis

Climatology and trends of snow cover over mountainous areas

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Snow_cover_analysis

Climatology and trends of snow cover over mountainous areas

We compute climatology, trends of snow cover over mountainous areas with the SNOW-CCI data.

First tests over the Alps, working on missing values. Martin Ménégoz: Alpine_snow_CCI.ipynb

Analysis with data over the Alps and HMA: Snow_mountain_trends.ipynb

############## SNOW-CCI Data: ##############

Snow Cover data downloaded at http://snow-cci.enveo.at/, by Mickael Lalande (Mai 2022), uploaded on ciclad in /data/mmenegoz/AVHRR_MERGED

Release of 2nd snow_cci Snow Cover Fraction Climate Research Data Package

The 2nd *snow_cci* Climate Research Data Packages (CRDP) including Snow Cover Fraction (SCF) time series from MODIS and AVHRR sensors and Snow Water Equivalent (SWE) time series from SMMR, SSM/I and SSMI/S instruments have been released in March 2022.

Daily SCF products are available with 0.01 deg (about 1 km) pixel spacing from MODIS data for the period 2000 - 2020, and with 0.05 deg (about 5 km) pixel spacing from AVHRR data for the period 1982 - 2018. In forested areas, the SCF CRDPs provide two different thematic information: snow viewable on top of the forest canopy (SCFV), and snow on the ground (SCFG), i.e. a canopy correction was applied. In non-forested areas, the SCFV and the SCFG products are equal.

Daily SWE products are available with 0.10 deg (about 10 km) pixel spacing for the winter periods 1979 - 2020. SWE products provide the snow mass information for the Northern Hemispheric land areas, but the geographic extent of the products is global.

The snow_cci products are available via the CCI Data Portal (http://cci.esa.int/data).

Further details on the dataset and direct access to the dataset are provided at the CEDA Archive:

wget -e robots=off --mirror --no-parent -r https://dap.ceda.ac.uk/neodc/esacci/snow/data/scfg/AVHRR_MERGED/v2.0//

Terminé ?~@T 2022-05-05 19:33:34 ?@~T Temps total effectif : 7h 20m 34s Téléchargés : 13514 fichiers, 24G en 40m 18s (10,2 MB/s)