[PDF] Top 20 The detection of cloud-free snow-covered areas using AATSR measurements
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The detection of cloud-free snow-covered areas using AATSR measurements
... presented cloud-screening method corresponds to MODIS cloud mask rather well, screening out all the clouds and not confusing them with snow ...Flat snow, either on ice or on land, is the best ... See full document
13
Bayesian cloud detection for MERIS, AATSR, and their combination
... the cloud masking of the complete ...(ESA) Cloud CCI (Climate Change Initiative) project (Hollmann et ...the cloud masking scheme, which is described in ...and AATSR are discussed separately ... See full document
15
Cloud obstruction and snow cover in Alpine areas from MODIS products
... Abstract. Snow cover maps provide information of great practical interest for hydrologic purposes: when combined with point values of snow water equivalent (SWE), they en- able estimation of the regional ... See full document
22
Assessing the application of a laser rangefinder for determining snow depth in inaccessible alpine terrain
... which areas can be sur- veyed ...determining snow pack properties such as snow covered area (SCA), snow depth, density and snow water equivalent ...regarding snow volume. ... See full document
10
A cloud identification algorithm over the Arctic for use with AATSR–SLSTR measurements
... a snow-covered surface, ...including snow grain size, solar zenith angle, liquid water content, snow impurities, ...the snow grain size of 50 to 200 µm, with a solar zenith angle of 40 ... See full document
18
Improved cloud mask algorithm for FY-3A/VIRR data over the northwest region of China
... identification, cloud detection over snow/ice for MODIS was developed (King et ...and snow cover (Miller et ...the cloud mask in the vicinity of desert areas, data from ... See full document
15
Overview of NASA’s MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS) snow-cover Earth System Data Records
... map snow cover accurately from space is reported in the satellite supplement of the Global Cli- mate Observing System’s (GCOS) terrestrial essential cli- mate variables (ECVs) implementation plan (Bojinski et ... See full document
13
Canadian snow and sea ice: historical trends and projections
... near-future snow loss (as a percentage of cli- matological snow) is projected to occur in the shoulder sea- sons (October–November, ...in snow cover extent pro- jections because winter temperatures ... See full document
20
Short-term velocity variations at three rock glaciers and their relationship with meteorological conditions
... borehole-deformation measurements in rock glaciers all show that within the permafrost body, thin lay- ers with distinctly different rheological properties ...displacement measurements appear to be a good ... See full document
21
Comparison of multiple glacier inventories with a new inventory derived from high-resolution ALOS imagery in the Bhutan Himalaya
... generated using Landsat-5/-7 imagery for the periods 1977–1978, 1990, 2000, and 2010 with semi-automatic classification (Bajracharya et ...difference snow index ...removed using the SRTM3 DEM. ... See full document
21
Exploiting the sensitivity of two satellite cloud height retrievals to cloud vertical distribution
... retrieved cloud-top temperature from AATSR, cloud-top pressure from MERIS, and accompanying cloud- top heights, assuming a single-layer and vertically homoge- neous cloud with a ... See full document
13
Accuracy of snow depth estimation in mountain and prairie environments by an unmanned aerial vehicle
... in snow surface characteristics and ...stubble areas; thus there were only three problem- atic flights at the prairie site in addition to the two at the alpine site ...to snow and vegetation surface ... See full document
13
Analysis of Internal Boundaries and Transition Regions in Geophysical Systems with Advanced Processing Techniques
... by direct comparison with the automatic gain control (AGC). Figure 4.13a shows the 25 MHz profile with only the dewow filter applied. Due to the large amplitude of the initial signal no other features can be made out. ... See full document
198
High resolution snow distribution data from complex Arctic terrain: a tool for model validation
... of snow drift. Already Johnson (1852) observed and docu- mented areas in complex terrain, which can be exposed to snow accumulations, and tested a number of snow ...of snow drift on ... See full document
9
Snow Water Equivalent Estimation for a Snow Covered Prairie Grass Field by GPS Interferometric Reflectometry
... of snow and fro- zen soil, tilted surfaces [17], the antenna beam pattern, the antenna phase center, the addition of more snow lay- ers, and the configuration of a horizontally-mounted (ze- nith-pointing) ... See full document
11
Modeling Snow Cover Area And Predicting Its Changes In Haraz Catchment
... the Snow Map algorithm, if the reflection rate of band 2 is more than 11 percent, we can accept the results of NDSI ...from snow. The feature of reflection in band 4 helps for separating snow from ... See full document
6
Snow accumulation and compaction derived from GPR data near Ross Island, Antarctica
... The snow pit logged at L2 in 2008 is approximately located at the centre of Fig. 3c. The yellow arrow corresponds to the dust layer depth and coincides with a horizon which is more undulating than other horizons ... See full document
14
Use of satellite derived data for characterization of snow cover and simulation of snowmelt runoff through a distributed physically based model of runoff generation
... of snow cover characteristics (SWE, snow depth, snowmelt, ...of snow pack and with the use of satellite measurements of ...calculated snow cover fields and for calibra- tion of the ... See full document
12
Limitations on 2D Super cavitating Hydrofoil Performance
... Also of concern is the discretisation in the vicinity of the cavity closure region. The implementation used for this analysis did not include an explicit closure model to account for the deceleration of the cavity ... See full document
6
Assimilation of snow covered area into a hydrologic model
... violated. Snow storage is for example a cumulative quantity with months of autocorrelation time (Slater & Clark 2006), and related model state variables could therefore show high autocorrelation within the ... See full document
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