Seasonal snow extent and snow mass in South America using SMMR and SSM/I passive microwave data (1979–2006)

Foster, James L.; Hall, Dorothy K.; Kelly, Richard; Chiu, Long S.

doi:10.1016/j.rse.2008.09.010

Cited by 61 publications

(50 citation statements)

References 20 publications

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“…The product by Brown et al (2003), which employs the operational snow depth routine of the Canadian Meterological Center model (Brasnett, 1999), has been used for evaluation of climate models . Foster et al (2008) recently produced a global product blending visible and infrared, passive microwave, and active microwave scatterometer data, with the intention of incorporating the most reliable aspects of each product. Derksen et al (2004) produced a product going back to the early 20th century for the North American Prairies and Great Plains based on passive microwave and station observations.…”

Section: Other Combined Productsmentioning

confidence: 99%

“…In fact accumulation and rapid melt are two of the most dramatic seasonal environmental changes of any kind on the Earth's surface (Gutzler and Rosen, 1992;Robinson and Frei, 2000;Robinson et al, 1993). In the Southern Hemisphere, outside of Antarctica and its surrounding ice shelves and sea ice, snow is generally limited to smaller regions such as the Andes, Patagonia and the southern Alps of New Zealand (Foster et al, 2008). On decadal time scales, snow variations over Northern Hemisphere lands have also been considerable (Barry et al, 1995;Brown, 2000;Brown and Braaten, 1998;Derksen et al, 2004;Frei et al, 1999;Mote, 2006;Mote et al, 2005;Ye et al, 1998), with declines in spring associated with warmer conditions (Brown et al, 2010;Groisman et al, 1994;IPCC, 2007;Leathers and Robinson, 1993).…”

Section: Introductionmentioning

confidence: 99%

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A review of global satellite-derived snow products

Frei

Tedesco

Lee

et al. 2012

Advances in Space Research

271

184

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Snow cover over the Northern Hemisphere plays a crucial role in the Earth's hydrology and surface energy balance, and modulates feedbacks that control variations of global climate. While many of these variations are associated with exchanges of energy and mass between the land surface and the atmosphere, other expected changes are likely to propagate downstream and affect oceanic processes in coastal zones. For example, a large component of the freshwater flux into the Arctic Ocean comes from snow melt. The timing and magnitude of this flux affects biological and thermodynamic processes in the Arctic Ocean, and potentially across the globe through their impact on North Atlantic Deep Water formation.Several recent global remotely sensed products provide information at unprecedented temporal, spatial, and spectral resolutions. In this article we review the theoretical underpinnings and characteristics of three key products. We also demonstrate the seasonal and spatial patterns of agreement and disagreement amongst them, and discuss current and future directions in their application and development. Though there is general agreement amongst these products, there can be disagreement over certain geographic regions and under conditions of ephemeral, patchy and melting snow.

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Section: Other Combined Productsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A review of global satellite-derived snow products

Frei

Tedesco

Lee

et al. 2012

Advances in Space Research

271

184

View full text Add to dashboard Cite

show abstract

“…These data need to be calibrated with field observation data or compared with MODIS (Moderate Resolution Imaging Spectroradiometer) snow cover data (Foster et al, 2009). The increase in global temperature means that snow cover in the northern hemisphere shows a generally decreasing trend, whereas on the regional scale, different changes are observed (IPCC, 2007;Singh et al, 2013).…”

Section: Changes In Snow Cover and Ndvi In The Source Re-gions Of Thementioning

confidence: 99%

Change of Snow Cover and Its Impact on Alpine Vegetation in the Source Regions of Large Rivers on the Qinghai-Tibetan Plateau, China

Wan

Gao

et al. 2014

Arctic, Antarctic, and Alpine Research

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“…Robinson and Frei, 2000;Armstrong and Brodzik, 2001;Bales et al, 2008;Foster et al, 2009;Boi, 2010). For Switzerland, polar-orbiting NOAA AVHRR data (Foppa et al, 2004(Foppa et al, , 2006 and geostationary Meteosat SEVIRI data were used for the near-realtime retrieval of the snow cover extent and thereof derived climatological pilot studies Foppa et al, 2008).…”

Section: N Foppa and G Seiz: Inter-annual Variations Of Snow Days Omentioning

confidence: 99%

Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data

Foppa

Seiz

2012

The Cryosphere

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Abstract. Snow cover plays a vital role in the SwissAlps and therefore it is of major interest to determine and understand its variability on different spatiotemporal scales. Within the activities of the National Climate Observing System (GCOS Switzerland) inter-annual variations of snow days over Switzerland were derived from 2000 to 2010 based on data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Terra satellite. To minimize the impact of cloud cover on the MODIS snow product MOD10C1, we implemented a post-processing technique based on a forward and backward gap-filling approach. Using the proposed methodology it was possible to determine the total number of annual snow days over Switzerland from 2000 to 2010 (SCD MODIS ). The accuracy of the calculated snow days per year were quantitatively evaluated against three in situ snow observation sites representing different climatological regimes (SCD in situ ). Various statistical indices were computed and analysed over the entire period. The overall accuracy between SCD MODIS and SCD in situ on a daily basis over 10 yr is 88 % to 94 %, depending on the regional characteristics of each validation site. Differences between SCD MODIS and SCD in situ vary during the snow accumulation period in autumn and smaller differences after spring, in particularly for the Central Alps.

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Seasonal snow extent and snow mass in South America using SMMR and SSM/I passive microwave data (1979–2006)

Cited by 61 publications

References 20 publications

A review of global satellite-derived snow products

A review of global satellite-derived snow products

Change of Snow Cover and Its Impact on Alpine Vegetation in the Source Regions of Large Rivers on the Qinghai-Tibetan Plateau, China

Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data

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