Javascript must be enabled to continue!
A snow reanalysis for Italy: IT-SNOW
View through CrossRef
Quantifying the amount of snow deposited across the landscape at any given time is the main goal of snow hydrology. Yet, answering this apparently simple question is still elusive -- particularly in complex and high-elevation terrains where data are sparse. To contribute to the advancement of snow hydrology in Mediterranean regions, we present the first serially complete and multi-year snow reanalysis for Italy (IT-SNOW). IT-SNOW covers the period from September 2010 to August 2021, with future updates envisaged on a regular basis. This reanalysis is the output of a real-time snow and glacier monitoring chain – S3M Italy -- developed for the Italian Civil Protection Department by CIMA Research Foundation. Spatial resolution is 500 m, with input data coming from thousands of weather stations across the Italian territory. By assimilating blended snow-covered area maps from Sentinel-2, MODIS, and the Eumetsat H-SAF products, as well as interpolated snow-depth maps from in-situ data, IT-SNOW optimally combines dynamic modeling and data towards reconciled estimates of snow amount and water equivalent at various scales. IT-SNOW was validated using Sentinel-1-based maps of snow depth and in-situ snow data in the Alps and the Apennines, with little bias compared to the former and typical Root Mean Square Errors of 30 to 60 cm and 90 to 300 mm for snow depth and Snow Water Equivalent, respectively. A comparison at 102 gauge stations showed a strong (0.87) correlation between peak SWE in IT-SNOW and measured annual streamflow, with snow being 22% of annual streamflow on average. IT-SNOW is freely available at the following DOI: https://doi.org/10.5281/zenodo.7034956 and we encourage users to validate and provide critical feedback for future releases.  
Title: A snow reanalysis for Italy: IT-SNOW
Description:
Quantifying the amount of snow deposited across the landscape at any given time is the main goal of snow hydrology.
Yet, answering this apparently simple question is still elusive -- particularly in complex and high-elevation terrains where data are sparse.
To contribute to the advancement of snow hydrology in Mediterranean regions, we present the first serially complete and multi-year snow reanalysis for Italy (IT-SNOW).
IT-SNOW covers the period from September 2010 to August 2021, with future updates envisaged on a regular basis.
This reanalysis is the output of a real-time snow and glacier monitoring chain – S3M Italy -- developed for the Italian Civil Protection Department by CIMA Research Foundation.
Spatial resolution is 500 m, with input data coming from thousands of weather stations across the Italian territory.
By assimilating blended snow-covered area maps from Sentinel-2, MODIS, and the Eumetsat H-SAF products, as well as interpolated snow-depth maps from in-situ data, IT-SNOW optimally combines dynamic modeling and data towards reconciled estimates of snow amount and water equivalent at various scales.
IT-SNOW was validated using Sentinel-1-based maps of snow depth and in-situ snow data in the Alps and the Apennines, with little bias compared to the former and typical Root Mean Square Errors of 30 to 60 cm and 90 to 300 mm for snow depth and Snow Water Equivalent, respectively.
A comparison at 102 gauge stations showed a strong (0.
87) correlation between peak SWE in IT-SNOW and measured annual streamflow, with snow being 22% of annual streamflow on average.
IT-SNOW is freely available at the following DOI: https://doi.
org/10.
5281/zenodo.
7034956 and we encourage users to validate and provide critical feedback for future releases.
  .
Related Results
Characteristics of Taiga and Tundra Snowpack in Development and Validation of Remote Sensing of Snow
Characteristics of Taiga and Tundra Snowpack in Development and Validation of Remote Sensing of Snow
Remote sensing of snow is a method to measure snow cover characteristics without direct physical contact with the target from airborne or space-borne platforms. Reliable estimates ...
Influence of cohesion on drifting snow investigated in cold wind-tunnel 
Influence of cohesion on drifting snow investigated in cold wind-tunnel 
<p>Aeolian transport of particles occurs in many geophysical contexts such as wind-blown sand or snow drift and is governed by a myriad of physical mechanisms. Most o...
Snow representation in seasonal forecasts and climate simulations: sensitivities of seasonal snow simulation and impact on frozen soils
Snow representation in seasonal forecasts and climate simulations: sensitivities of seasonal snow simulation and impact on frozen soils
Snow cover is a critical component of the Earth's climate system, covering up to 44 % of the Northern Hemisphere's land during winter and influencing energy exchange, water storage...
Dynamic Snow Distribution Modeling using the Fokker-Planck Equation Approach
Dynamic Snow Distribution Modeling using the Fokker-Planck Equation Approach
<p>The Fokker-Planck equation (FPE) describes the time evolution of the distribution function of fluctuating macroscopic variables.&#160; Although the FPE was...
Dynamic identification of snow phenology in the Northern Hemisphere
Dynamic identification of snow phenology in the Northern Hemisphere
Abstract. Snow phenology characterizes the cyclical changes in snow and has become an important indicator of climate change in recent decades. Changes in snow phenology can signifi...
Revisiting NASA's Operation IceBridge Snow on Sea Ice Radar Measurements in the Arctic
Revisiting NASA's Operation IceBridge Snow on Sea Ice Radar Measurements in the Arctic
Snow on sea ice plays a critical role in modulating ice mass changes in response to anthropogenic warming, with significant implications for ocean mixed layer processes, the surfac...
How well do global reanalyses estimate snow density?
How well do global reanalyses estimate snow density?
Snow density is critical to the accurate simulation of energy exchange between the atmosphere and the underlying soil. Along with snow water equivalent (SWE) it is a key constraint...
ARRA: A kilometer-scale reanalysis over France with AROME
ARRA: A kilometer-scale reanalysis over France with AROME
The ARRA (ARome ReAnalysis) project was launched at Météo-France in 2022, in order to replace the old existing reanalysis system SAFRAN by a system based on the n...

