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Selection: with tag statistical-downscaling [5 articles] 


Robust projections of Fire Weather Index in the Mediterranean using statistical downscaling

Climatic Change, Vol. 120, No. 1-2. (2013), pp. 229-247,


The effect of climate change on wildfires constitutes a serious concern in fire-prone regions with complex fire behavior such as the Mediterranean. The coarse resolution of future climate projections produced by General Circulation Models (GCMs) prevents their direct use in local climate change studies. Statistical downscaling techniques bridge this gap using empirical models that link the synoptic-scale variables from GCMs to the local variables of interest (using e.g. data from meteorological stations). In this paper, we investigate the application of statistical ...


(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 34

(February 2014)
Keywords: inrmm-list-of-tags   spatio-temporal-disaggregation   spatio-temporal-scale   spatiotemporal-change   species   species-area-relationships   species-association   species-biology   species-control   species-decline   species-description   species-dispersal   species-distribution   species-distributions   species-diversity   species-ecology   species-evolution   species-extinction   species-identification   species-indicators   species-interactions   species-invasions   species-local-maximum-altitude   species-positive-interaction   species-resistance   species-richness   species-selection   species-specific-effects   species-trial   species-use   species-vulnerability   spectral-analysis   sphaeropsis-sapinea   sphagnum-spp   sphexishness   spiders   spondias-dulcis   spondias-mombin   spore   spring   sprouting   spruce   spruce-bark-beetle   spruce-decline   sql   squashing-functions   srtm   stability-vs-sparsity   stabilization   stand-composition   stand-density   stand-structure   standard   staphylea-pinnata   staphylococcus-aureus   state-shift   stationarity   statistical-downscaling   statistics   stem-canker   stem-rot   stepping-stones   sterculia-foetida   sterculia-urens   sterilization   stigmella-spp   stochastic-dynamic-programming   stochastic-state-transition   stomatal-conductance   stone-weierstrass-theorem   stoniness   storage   storm   storm-intensity   strategy   strategy-vs-tactic   stratification   string-instrument   strobus   strom   strophosoma-melanogrammus   structure   stryphnodendron-microstachyum   subalpine   subalpine-belt   subtropical-areas   subtropical-climate   subtropical-forest   subtropical-mountain-system   succession   succession-pathways   sudden-changes   sudden-oak-death   sudden-transition   sulphur   sumava-national-park   sun   super-derecho   super-terminal-speed   supervised-training  


List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( ). ...


An appraisal of downscaling methods used in climate change research

WIREs Clim Change, Vol. 6, No. 3. (1 March 2015), pp. 301-319,


The term ‘downscaling’ refers to the process of translating information from global climate model simulations to a finer spatial resolution. There are numerous methods by which this translation of information can occur. For users of downscaled information, it is important to have some understanding of the properties of different methods (in terms of their capabilities and limitations to convey the change signal, as simulated by the global model), as these dictate the type of applications that the downscaled information can be ...


Guidelines for use of climate scenarios developed from statistical downscaling methods



[Excerpt: introduction] The climate change information required for many impact studies is of a spatial scale much finer than that provided by global or regional climate models. The ensuing problems for impact assessment have been recognised for a long time (Kim et al., 1984; Gates, 1985; Robinson and Finkelstein, 1989; Lamb, 1987; Smith and Tirpak, 1989; Cohen, 1990). Global climate models (GCMs) have resolutions of hundreds of kilometres whilst regional climate models (RCMs) may be as fine as tens of kilometres. However, many impact applications require ...


A comparison of statistical and dynamical downscaling of winter precipitation over complex terrain

J. Climate In Journal of Climate, Vol. 25, No. 1. (19 July 2011), pp. 262-281,


Abstract Statistical downscaling is widely used to improve spatial and/or temporal distributions of meteorological variables from regional and global climate models. This downscaling is important because climate models are spatially coarse (50?200 km) and often misrepresent extremes in important meteorological variables, such as temperature and precipitation. However, these downscaling methods rely on current estimates of the spatial distributions of these variables and largely assume that the small-scale spatial distribution will not change significantly in a modified climate. In this study the ...

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Integrated Natural Resources Modelling and Management - Meta-information Database.

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Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
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Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.