%0 Journal Article %1 Fiedler2014Operational %A Fiedler, Emma K. %A Martin, Matthew J. %A Roberts-Jones, Jonah %D 2014 %J Tellus A %K ocean colleagues assimilation lakes %N 0 %R 10.3402/tellusa.v66.21247 %T An operational analysis of Lake Surface Water Temperature %U http://dx.doi.org/10.3402/tellusa.v66.21247 %V 66 %X Operational analyses of Lake Surface Water Temperature (LSWT) have many potential uses including improvement of numerical weather prediction (NWP) models on regional scales. In November 2011, LSWT was included in the Met Office Operational Sea Surface Temperature and Ice Analysis (OSTIA) product, for 248 lakes globally. The OSTIA analysis procedure, which has been optimised for oceans, has also been used for the lakes in this first version of the product. Infra-red satellite observations of lakes and in situ measurements are assimilated. The satellite observations are based on retrievals optimised for Sea Surface Temperature (SST) which, although they may introduce inaccuracies into the LSWT data, are currently the only near-real-time information available. The LSWT analysis has a global root mean square difference of 1.31 K and a mean difference of 0.65 K (including a cool skin effect of 0.2 K) compared to independent data from the ESA ARC-Lake project for a 3-month period (June to August 2009). It is demonstrated that the OSTIA LSWT is an improvement over the use of climatology to capture the day-to-day variation in global lake surface temperatures.

@article{Fiedler2014Operational, abstract = {Operational analyses of Lake Surface Water Temperature (LSWT) have many potential uses including improvement of numerical weather prediction (NWP) models on regional scales. In November 2011, LSWT was included in the Met Office Operational Sea Surface Temperature and Ice Analysis (OSTIA) product, for 248 lakes globally. The OSTIA analysis procedure, which has been optimised for oceans, has also been used for the lakes in this first version of the product. Infra-red satellite observations of lakes and in situ measurements are assimilated. The satellite observations are based on retrievals optimised for Sea Surface Temperature (SST) which, although they may introduce inaccuracies into the LSWT data, are currently the only near-real-time information available. The LSWT analysis has a global root mean square difference of 1.31 K and a mean difference of 0.65 K (including a cool skin effect of 0.2 K) compared to independent data from the ESA ARC-Lake project for a 3-month period (June to August 2009). It is demonstrated that the OSTIA LSWT is an improvement over the use of climatology to capture the day-to-day variation in global lake surface temperatures.}, added-at = {2018-06-18T21:23:34.000+0200}, author = {Fiedler, Emma K. and Martin, Matthew J. and Roberts-Jones, Jonah}, biburl = {https://www.bibsonomy.org/bibtex/2d03664b366ce3dd2921ccbcf5e1a4517/pbett}, citeulike-article-id = {13267378}, citeulike-linkout-0 = {http://dx.doi.org/10.3402/tellusa.v66.21247}, day = 15, doi = {10.3402/tellusa.v66.21247}, interhash = {2e4dbccb95dec8b72bb1d140e31ed3e8}, intrahash = {d03664b366ce3dd2921ccbcf5e1a4517}, issn = {1600-0870}, journal = {Tellus A}, keywords = {ocean colleagues assimilation lakes}, month = jul, number = 0, posted-at = {2014-07-16 07:18:25}, priority = {2}, timestamp = {2018-06-22T18:34:29.000+0200}, title = {An operational analysis of Lake Surface Water Temperature}, url = {http://dx.doi.org/10.3402/tellusa.v66.21247}, volume = 66, year = 2014 }