The objective of the study was the quantification of uncertainty propagating through the normalization procedure described in Pavlidou et al. (2016), given the uncertainty estimates provided with the Land Surface Temperature data from the Copernicus Global Hourly Land Surface Temperature (CGH-LST) product
The question of how to derive and present uncertainty information in climate data records (CDRs) has...
Described herein is the parametric and structural uncertainty quantification for the monthly Extende...
The uncertainty in Extended Reconstructed SST (ERSST) version 4 (v4) is reassessed based upon 1) rec...
The objective of the study was the quantification of uncertainty propagating through the normalizati...
We present the first analysis of global and hemispheric surface warming trends that attempts to quan...
A method for estimating uncertainty in future climate change is discussed in detail and applied to p...
The accuracy of land surface temperature (LST) observations is critical to many applications. Any ob...
The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models...
The process of moving from an ensemble of global climate model temperature projections to local sea ...
Detailed, frequent, and accurate land surface temperature (LST) estimates from satellites may suppor...
In December 2015, 195 countries agreed in Paris to "hold the increase in global mean surface tempera...
The statistical error model commonly applied to monthly surface station temperatures assumes a physi...
In December 2015, 195 countries agreed in Paris to "hold the increase in global mean surface tempera...
[1] The historical surface temperature data set HadCRUT provides a record of surface temperature tre...
Surface temperature is an important Earth system data record that is useful to fields such as change...
The question of how to derive and present uncertainty information in climate data records (CDRs) has...
Described herein is the parametric and structural uncertainty quantification for the monthly Extende...
The uncertainty in Extended Reconstructed SST (ERSST) version 4 (v4) is reassessed based upon 1) rec...
The objective of the study was the quantification of uncertainty propagating through the normalizati...
We present the first analysis of global and hemispheric surface warming trends that attempts to quan...
A method for estimating uncertainty in future climate change is discussed in detail and applied to p...
The accuracy of land surface temperature (LST) observations is critical to many applications. Any ob...
The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models...
The process of moving from an ensemble of global climate model temperature projections to local sea ...
Detailed, frequent, and accurate land surface temperature (LST) estimates from satellites may suppor...
In December 2015, 195 countries agreed in Paris to "hold the increase in global mean surface tempera...
The statistical error model commonly applied to monthly surface station temperatures assumes a physi...
In December 2015, 195 countries agreed in Paris to "hold the increase in global mean surface tempera...
[1] The historical surface temperature data set HadCRUT provides a record of surface temperature tre...
Surface temperature is an important Earth system data record that is useful to fields such as change...
The question of how to derive and present uncertainty information in climate data records (CDRs) has...
Described herein is the parametric and structural uncertainty quantification for the monthly Extende...
The uncertainty in Extended Reconstructed SST (ERSST) version 4 (v4) is reassessed based upon 1) rec...
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