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Geostatistical Model Averaging for Locally Calibrated Probabilistic Quantitative Precipitation Forecasting
2011
Journal of the American Statistical Association
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Moving to the geostatistical model introduces this difficulty, especially during the dry season when many weeks may pass without any rain at a given station. ...
Single Forecast Geostatistical Model We now introduce the single forecast geostatistical model that allows the parameters to vary by location. ...
doi:10.1198/jasa.2011.ap10433
fatcat:5frf4ijnlvftrktinhu4v5k47y
Can spatio-temporal geostatistical methods improve high resolution regionalisation of meteorological variables?
2009
Agricultural and Forest Meteorology
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We varied the number of interpolation data used in both space and time and assessed the impact on interpolation skill. ...
Geostatistical Estimation of Model Drivers Luke Spadavecchia -94 -2008 Abstract Models are often used to make estimates of ecological and hydrological phenomena (e.g. land surface exchanges of carbon and ...
Acknowledgements We are grateful to Bev Law for access to meteorological data from the Metolius ...
doi:10.1016/j.agrformet.2009.01.008
fatcat:7vzgknu35rf63fyffy6xyqeqle
Rainfall Spatial Estimations: A Review from Spatial Interpolation to Multi-Source Data Merging
2019
Water
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In light of the information sources used in rainfall spatial estimation, this paper summarized the research progress in traditional spatial interpolation, remote sensing retrieval, atmospheric reanalysis ...
Rainfall is one of the most basic meteorological and hydrological elements. ...
It can provide the uncertainty measure index of the spatial estimation results of precipitation. ...
doi:10.3390/w11030579
fatcat:awws4kfij5aqnbzyi5ampk3b4m
Sensitivity Of Ecological Models To Their Climate Drivers: Statistical Ensembles For Forcing
2006
Ecological Applications
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To assess their numerical sensitivity to predicted input variables, we generate a set of ecological model simulations run using an ensemble of different versions of the reconstructed fields. ...
We evaluate the importance of such errors in ecological model experiments using an ensemble of historical precipitation time series in simulations of grassland biogeochemical dynamics with an ecological ...
ACKNOWLEDGMENTS We acknowledge the valuable help of Robin Kelly who provided the Century simulations and insights in the interpretation of results. We thank Nan Rosenbloom and the VE- ...
doi:10.1890/04-1157
pmid:16705964
fatcat:ttw5euhxdfbjreemvbuu5exgty
A Rigorously-Weighted Spatiotemporal Fusion Model with Uncertainty Analysis
2017
Remote Sensing
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Interest has been growing with regard to the use of remote sensing data characterized by a fine spatial resolution and frequent coverage for the monitoring of land surface dynamics. ...
This paper proposes a rigorously-weighted spatiotemporal fusion model (RWSTFM) based on geostatistics to blend the surface reflectances of Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat ...
Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2017, 9, 990 ...
doi:10.3390/rs9100990
fatcat:qi3ksfkuibbwtdjev3xaqzctaa
Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures
2014
Remote Sensing
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The main objective of the present study was to assess a possible improvement in the performance of classifying tree and nontree laser echoes from high-density ALS data. ...
Different geostatistical and statistical measures derived from laser height and intensity values were used to extent and potentially improve more simple models ignoring the spatial context. ...
Acknowledgments This research has been funded by the Research Council of Norway (project #184636/S30). ...
doi:10.3390/rs6054582
fatcat:t62rkl24kfavraolk73dl3qdp4
Quantitative Evaluation and Uncertainty Assessment on Geostatistical Simulation of Soil Salinity Using Electromagnetic Induction Technique
2016
Journal of Environmental Protection
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Inverse Distance Weighted (IDW) and Ordinary Kriging (OK) methods, and to determine which algorithm is more reliable for the local and spatial uncertainty assessment. ...
Apparent soil electrical conductivity, measured by electromagnetic induction instruments, has been widely used as an auxiliary variable to estimate spatial distribution of field soil salinity. ...
Acknowledgements The authors are grateful for the financial support of the Key Projects in the Bingtuan Science & Technology of Xinjiang, China (2014AB002) and Projects of International Cooperation and ...
doi:10.4236/jep.2016.76077
fatcat:duyhhv4ikrdc7hqkjwe6mmgy4i
Comparative assessment of predictions in ungauged basins – Part 3: Runoff signatures in Austria
2013
Hydrology and Earth System Sciences Discussions
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Daily runoff time series are predicted for 213 catchments in Austria by a regionalised rainfall-runoff model and by Top-kriging, a geostatistical estimation method that accounts for the river network hierarchy ...
Whereas the two previous papers by Parajka et al. (2013) and Salinas et al. (2013) assess the regionalisation performance of hydrographs and hydrological extremes on the basis of a comprehensive literature ...
Financial support for the project "Mountain floods -regional joint probability estimation of extreme events" funded by the Austrian Academy of Sciences, the Doctoral program DK-plus W1219-N22 funded by ...
doi:10.5194/hessd-10-449-2013
fatcat:arwspvkvgzclvf7uqyj5zlosti
Comparative assessment of predictions in ungauged basins – Part 3: Runoff signatures in Austria
2013
Hydrology and Earth System Sciences
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Daily runoff time series are predicted for 213 catchments in Austria by a regionalised rainfall–runoff model and by Top-kriging, a geostatistical estimation method that accounts for the river network hierarchy ...
Whereas the two previous papers by Parajka et al. (2013) and Salinas et al. (2013) assess the regionalisation performance of hydrographs and hydrological extremes on the basis of a comprehensive literature ...
Financial support for the project "Mountain floods -regional joint probability estimation of extreme events" funded by the Austrian Academy of Sciences, the Doctoral program DK-plus W1219-N22 funded by ...
doi:10.5194/hess-17-2263-2013
fatcat:neknsodbuzc5zkp7zexh45bbuu
Infilling Sparse Records of Spatial Fields
2003
Journal of the American Statistical Association
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Novel features of our implementation include the use of cross-validation to determine the relative prior weight given to the regression and geostatistical components and the use of a space filling subset ...
Furthermore, we are able to produce reliable measures of uncertainty for the estimates. ...
used in this study and to Richard Jones (University of Colorado, Health Sciences Center) for useful discussion early in the project. ...
doi:10.1198/016214503000000729
fatcat:jfjbden2hnat5bapbpo4b7xs24
Ensemble Representation of Uncertainty in Lagrangian Satellite Rainfall Estimates
2013
Journal of Hydrometeorology
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of discontinuous uncertainty fields inherent in this type of product. ...
Each ensemble member is consistent with the information present in the satellite data, while variation between members is indicative of uncertainty in the rainfall retrievals. ...
Data for this study were obtained from the NASA Tropical Rainfall Measuring Mission Science Data and Information System; the Center for Hydrometerology and Remote Sensing, University of California, Irvine ...
doi:10.1175/jhm-d-12-0121.1
fatcat:4nsldn3hcvg5vj2oya2olzhnwq
Exploration of an adaptive merging scheme for optimal precipitation estimation over ungauged urban catchment
2016
Journal of Hydroinformatics
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Full terms of use are available: ABSTRACT Merging raingauge-radar data improves the accuracy of precipitation estimation for urban areas. ...
The performance of the scheme is assessed using four experimental raingauges installed inside the study area. ...
ACKNOWLEDGEMENTS (http://badc.nerc.ac.uk/) for providing the data sets. We also thank Yorkshire Water Services Ltd for providing the raingauge data within the urban area. ...
doi:10.2166/hydro.2016.022
fatcat:pikpgxhionbpbbdl5br7oqdhgu
MULTIPLE-POINT GEOSTATISTICS TO DERIVE MISSING SURFACE DISPLACEMENT VALUES OF A GLACIER INFERRED FROM DINSAR
2019
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The glacier displacement map produced by DInSAR contains missing values due to decorrelation of the SAR images. ...
This study demonstrates the utility of direct sampling—a well-established multiple-point geostatistics method—for deriving those missing values. ...
Whereas, geostatistical methods are based on statistical models performing stochastic predictions of values at unknown locations, and therefore can provide spatial model of uncertainty. ...
doi:10.5194/isprs-annals-iv-2-w5-631-2019
fatcat:grwnr6bkprb7flgguk2esgn7vm
Spatially Continuous Land-Cover Reconstructions Through the Holocene in Southern Sweden
2021
Ecosystems
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Simple kriging with cokriging using elevation was selected to interpolate the local characteristics of past land cover, to generate more detailed reconstructions of trends and degree of variability in ...
AbstractClimate change and human activities influence the development of ecosystems, with human demand of ecosystem services altering both land use and land cover. ...
ACKNOWLEDGEMENTS This study was carried out as part of a master thesis project in Geographical Information Science at the Continuous Past Land-Cover Reconstructions Department of Physical Geography and ...
doi:10.1007/s10021-020-00594-5
fatcat:hdh4jy7rp5bnfnw7gbkuoej7ni
Scale‐aware space‐time stochastic parameterization of subgrid‐scale velocity enhancement of sea surface fluxes
2021
Journal of Advances in Modeling Earth Systems
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This discrepancy is modeled in space and time, conditioned on the coarse-grained wind and precipitation fields, to parameterize the enhancement of fluxes by mesoscale velocity variations. ...
Numerical physically based models are used extensively to simulate phenomena in the Earth system and its components. ...
Acknowledgments This research started in a working group supported by the Statistical and Mathematical Sciences Institute (SAMSI). The effort of J. Bessac ...
doi:10.1029/2020ms002367
fatcat:urpk7tws6bbqrjsm7yawiuejwa
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