Add to ORKGThe goal of this dissertation is to estimate the amount of water in snowpacks at the areas Kultsjön and Rensaren in northen Sweden. A model is built using spatial statistics, and the estimations will be done by Integrated Nested Laplace Approximations (INLA). Then a validation process was done by removing data from the data set to create a validation set, and compare the estimations done by INLA to a simple linear regression. Finally the model is applied to the areas of interest, and the results are analysed
The spatial distribution of alpine snow covers is characterised by large variability. Taking this va...
A good estimate of the spatial probability density function (PDF) of snow water equivalent (SWE) pro...
The main objective of this paper is to evaluate the SHyFT snow routine performance against observed ...
Under a warming climate, an improved understanding of the water stored in snowpacks is becoming incr...
Vattenkraft är en stor källa till energi i Sverige, främst i de norra delarna av landet. För att få ...
Snow density is an important measure in hydrological applications. It is used to convert snow depth ...
Snow depth is highly variable in wind-dominant mountain environments. The variation is especially hi...
The seasonal snowpack is a globally important water resource that is notoriously difficult to measur...
International audienceThe spatial distribution of snow water equivalent (SWE) is modelled as a two p...
Snow in the mountains is essential for the water cycle in cold regions. The complexity of the snow p...
Snow depths and bulk densities of the annual snow layer were measured at 69 different locations on g...
Currently, snow analysis for weather prediction in Canada is conducted using snow depth measurements...
Many methods exist to model snow densification in order to calculate the depth of a single snow laye...
Spatial variation of snow cover in Sweden has been very little studied up til now. This is quite rem...
An accuracy evaluation of the Nagler & Rott snow-covered area estimation method is presented in this...
The spatial distribution of alpine snow covers is characterised by large variability. Taking this va...
A good estimate of the spatial probability density function (PDF) of snow water equivalent (SWE) pro...
The main objective of this paper is to evaluate the SHyFT snow routine performance against observed ...
Under a warming climate, an improved understanding of the water stored in snowpacks is becoming incr...
Vattenkraft är en stor källa till energi i Sverige, främst i de norra delarna av landet. För att få ...
Snow density is an important measure in hydrological applications. It is used to convert snow depth ...
Snow depth is highly variable in wind-dominant mountain environments. The variation is especially hi...
The seasonal snowpack is a globally important water resource that is notoriously difficult to measur...
International audienceThe spatial distribution of snow water equivalent (SWE) is modelled as a two p...
Snow in the mountains is essential for the water cycle in cold regions. The complexity of the snow p...
Snow depths and bulk densities of the annual snow layer were measured at 69 different locations on g...
Currently, snow analysis for weather prediction in Canada is conducted using snow depth measurements...
Many methods exist to model snow densification in order to calculate the depth of a single snow laye...
Spatial variation of snow cover in Sweden has been very little studied up til now. This is quite rem...
An accuracy evaluation of the Nagler & Rott snow-covered area estimation method is presented in this...
The spatial distribution of alpine snow covers is characterised by large variability. Taking this va...
A good estimate of the spatial probability density function (PDF) of snow water equivalent (SWE) pro...
The main objective of this paper is to evaluate the SHyFT snow routine performance against observed ...