Towards improved objective analysis of lake surface water temperature in a NWP model: preliminary assessment of statistical properties

References

• Alexander, R.C. and Mobley, R.L. 1974. Monthly average sea-surface temperatures and ice-pack limits for 1 deg global grid. RAND Report R-1310-ARPA.
   Google Scholar
• Bergthórsson, P. and Döös, B. R. 1955. Numerical weather map analysis. Tellus 7, 329–340. DOI:10.1111/j.2153-3490.1955.tb01170.x.
   Google Scholar
• Bringfelt, B., Gustafsson, N., Vilmusenaho, P. and Järvenoja, S. 1995. Updating of the HIRLAM physiography and climate data base. Technical Report 19, HIRLAM. Online at: http://hirlam.org/.
   Google Scholar
• Brown, L. C. and Duguay, C. R. 2010. The response and role of ice cover in lake-climate interactions. Prog. Phys. Geogr. 34, 671–704.
   Web of Science ®Google Scholar
• Chelton, D. B. and Wentz, F. J. 2005. Global microwave satellite observations of sea surface temperature for numerical weather prediction and climate research. Bull. Amer. Meteor. Soc. 86, 1097–1115.
   Web of Science ®Google Scholar
• Choulga, M., Kourzeneva, E., Zakharova, E. and Doganovsky, A. 2014. Estimation of the mean depth of boreal lakes for use in numerical weather prediction and climate modelling. Tellus A 66, 21295. DOI:10.3402/tellusa.v66.21295.
   Google Scholar
• Cressman, G. P. 1959. An operational objective analysis system. Mon. Wea. Rev. 87, 367–374.
   Google Scholar
• Daley, R. 1991. Atmospheric Data Analysis. Cambridge Atmospheric and Space Science Series Cambridge University Press, New York, NY.
   Google Scholar
• Donlon, C. J., Martin, M., Stark, J., Roberts-Jones, J., Fiedler, E. and co-authors. 2012. The operational sea surface temperature and sea ice analysis (OSTIA) system. Remote Sens. Env. 116, 140–158.
   Web of Science ®Google Scholar
• Duguay, C. R., Prowse, T. D., Bonsal, B. R., Brown, R. D., Lacroix, M. P. and co-authors. 2006. Recent trends in Canadian lake ice cover. Hydrol. Process. 20, 781–801.
   Web of Science ®Google Scholar
• Eerola, K. 1995. Experiences with the analysis of sea surface temperature, ice coverage and snow depth. HIRLAM 3 Workshop on Soil Processes and Soil/Surface Data Assimilation. Spanish Meteorological Institute, 33–37. Online at: http://hirlam.org/.
   Google Scholar
• Eerola, K. 2013. Twenty-one years of verification from the HIRLAM NWP system. Wea. Forecast. 28, 270–285. DOI:10.1175/WAF-D-12-00068.1.
   Web of Science ®Google Scholar
• Eerola, K., Rontu, L., Kourzeneva, E., Kheyrollah Pour, H. and Duguay, C. 2014. Impact of partly ice-free Lake Ladoga on temperature and cloudiness in an anticyclonic winter situation-a case study using a limited area model. Tellus A 66, 23929. DOI:10.3402/tellusa.v66.23929.
   Google Scholar
• Eerola, K., Rontu, L., Kourzeneva, E. and Shcherbak, E. 2010. A study on effects of lake temperature and ice cover in HIRLAM. Boreal Env. Res. 15, 130–142.
   Web of Science ®Google Scholar
• Eliassen, A. 1954. Provisional report on calculation of spatial covariance and autocorrelation of the pressure field Inst. Weather Clim. Res., Acad. Sci., Oslo, Tech. Rep, p. 5.
   Google Scholar
• Fiedler, E. K., Martin, M. J. and Roberts-Jones, J. 2014. An operational analysis of lake surface water temperature. Tellus A 66, 21247. DOI:10.3402/tellusa.v66.21247.
   Google Scholar
• Gandin, L. 1965. Objective analysis of meteorological fields. Gidrometizdat, Leningrad. Translated from Russian, Jerusalem. Israel Program for Scientific Translations.
   Google Scholar
• Gilchrist, B. and Cressman, G. P. 1954. An experiment in objective analysis. Tellus 6, 309–318.
   Google Scholar
• Hollingsworth, A. and Lönnberg, P. 1986. The statistical structure of short-range forecast errors as determined from radiosonde data. part i: The wind field. Tellus A, 38, 111–136.
   Google Scholar
• Julian, P. R. and Thiebaux, H. J. 1975. On some properties of correlation functions used in optimum interpolation schemes. Mon. Wea. Rev. 103, 605–616.
   Web of Science ®Google Scholar
• Kheyrollah Pour, H., Duguay, C., Martynov, A. and Brown, L. C. 2012. Simulation of surface temperature and ice cover of large northern lakes with 1-d models: a comparison with modis satellite data and in situ measurements. Tellus A 64, 17614.
   Google Scholar
• Kheyrollah Pour, H., Duguay, C. R., Solberg, R. and Rudjord, Ø. 2014a. Impact of satellite-based lake surface observations on the initial state of HIRLAM - Part I: Evaluation of MODIS/AATSR lake surface water temperature observations. Tellus A 66, 21534. DOI:10.3402/tellusa.v66.21534.
   Google Scholar
• Kheyrollah Pour, H., Rontu, L., Duguay, C.R., Eerola, K. and Kourzeneva, E. 2014b. Impact of satellite-based lake surface observations on the initial state of HIRLAM. Part II: Analysis of lake surface temperature and ice cover. Tellus A, 66, 21395. DOI:10.3402/tellusa.v66.21395.
   Google Scholar
• Kirillin, G. 2010. Modeling the impact of global warming on water temperature and seasonal mixing regimes in small temperate lakes. Boreal Env. Res. 15, 279–293.
   Web of Science ®Google Scholar
• Kourzeneva, E. 2014. Assimilation of lake water surface temperature observations with Extended Kalman filter. Tellus A 66, 21510. DOI:10.3402/tellusa.v66.21510.
   Google Scholar
• Kourzeneva, E., Asensio, H., Martin, E. and Faroux, S. 2012a. Global gridded dataset of lake coverage and lake depth for use in numerical weather prediction and climate modelling. Tellus A 64, 15640. DOI:10.3402/tellusa.v64i0.15640.
   Google Scholar
• Kourzeneva, E., Martin, E., Batrak, Y. and Moigne, P. L. 2012b. Climate data for parameterisation of lakes in numerical weather prediction models. Tellus A. 64, 17226. DOI:10.3402/tellusa.v64i0.17226.
   Google Scholar
• Kourzeneva, E., Samuelsson, P., Ganbat, G. and Mironov, D. 2008. Implementation of lake model Flake into HIRLAM. HIRLAM Newsletter, 54, 54–64. Online at: http://hirlam.org/.
   Google Scholar
• Krinner, G. and Boike, J. 2010. A study of the large-scale climatic effects of a possible disappearance of high-latitude inland water surfaces during the 21st century. Boreal Env. Res. 15, 203–217.
   Web of Science ®Google Scholar
• Lönnberg, P. and Hollingsworth, A. 1986. The statistical structure of short-range forecast errors as determined from radiosonde data. Part II: The covariance of height and wind errors. Tellus A, 38, 137–161.
   Google Scholar
• Lorenc, A. 1981. A global three-dimensional multivariate statistical interpolation scheme. Mont. Wea. Rev. 109, 701–721.
   Web of Science ®Google Scholar
• Loveland, T.R., Reed, B.C., Brown, J.F., Ohlen, D.O., Zhu, J. and co authors. 2000. Development of a global land cover characteristics database and IGBP DISCover from 1-km AVHRR data. Int. J. Rem. Sens., 21, 1303–1130. Online at: http://edc2.usgs.gov/glcc/glcc.php.
   Web of Science ®Google Scholar
• MacCallum, S. and Merchant, C. 2011. ARC-Lake v2.0, University of Edinburgh, School of GeoSciences / European Space Agency. Online at: http://hdl.handle.net/10283/88. Dataset 1991-2011.
   Google Scholar
• Magnuson, J. J., Benson, B. J. and Kratz, T. K. 1990. Temporal coherence in the limnology of a suite of lakes in Wisconsin, U.S.A. Freshwater Biol. 23, 145–159. DOI:10.1111/j.1365-2427.1990.tb00259.x.
   Web of Science ®Google Scholar
• Marquardt, D. 1963. An algorithm for least-squares estimation of nonlinear parameters. SIAM J. Appl. Math. 11, 431–441.
   Web of Science ®Google Scholar
• Mironov, D. 2008. Parameterization of lakes in numerical weather prediction. Description of a lake model. COSMO Technical Report, No. 11. Deutscher Wetterdienst, Offenbach am Main, Germany, 41.
   Google Scholar
• Mironov, D., Heise, E., Kourzeneva, E., Ritter, B., Schneider, N. and co-authors. 2010. Implementation of the lake parameterisation scheme FLake into the numerical weather prediction model COSMO. Boreal Env. Res., 15, 218–230.
   Web of Science ®Google Scholar
• Ngai, K. L. C., Shuter, B. J., Jackson, D. A. and Chandra, S. 2013. Projecting impacts of climate change on surface water temperatures of a large subalpine lake: Lake Tahoe, U.S.A. Clim. change 118, 841–855.
   Web of Science ®Google Scholar
• Niziol, T. A. 1987. Operational forecasting of lake effect snowfall in western and central New York. Wea. Forecasting 2, 310–321.
   Google Scholar
• Niziol, T. A., Snyder, W. R. and Waldstreicher, J. S. 1995. Winter weather forecasting throughout the Eastern United States. Part IV: Lake effect snow. Wea. Forecasting 10, 61–77. DOI:10.1175/1520-0434(1995)010<0061:WWFTTE>2.0.CO;2.
   Web of Science ®Google Scholar
• Osipov, A. 2002. Econometrics: Educational-methodical complex for distance learning. Siberian Institute of State Service, Novosibirsk. pp. 1–173.
   Google Scholar
• Panofsky, R. 1949. Objective weather-map analysis. J. Meteor. 6, 386–392.
   Google Scholar
• Potes, M., Costa, M. J., da Silva, J. C. B., Silva, A. M. and Morais, M. 2011. Remote sensing of water quality parameters over Alqueva Reservoir in the South of Portugal. Int. J. Rem. Sens. 32(12), 3373–3388. DOI:10.1080/01431161003747513.
   Web of Science ®Google Scholar
• Rodriguez, E., Navascues, B. and Ayuso, J. 2001. The tiling surface scheme for HIRLAM5: features and latest results. Proceedings of the SRNWP/HIRLAM Workshop on Surface Processes, Turbulence and Mountain Effects, INM, Madrid, pp. 55-63.
   Google Scholar
• Rontu, L., Eerola, K., Kourzeneva, E. and Vehviläinen, B. 2012. Data assimilation and parametrisation of lakes in HIRLAM. Tellus A. 64, 17611. DOI:10.3402/tellusa.v64i0.17611.
   Google Scholar
• Samuelsson, P., Kourzeneva, E. and Mironov, D. 2010. The impact of lakes on the european climate as stimulated by a regional climate madel. Boreal Env. Res., 15, 113–120.
   Web of Science ®Google Scholar
• Sattler, K. and Huang, X.-Y. 2002. Structure function characteristics for 2 metre temperature and relative humidity in different horizontal resolutions. Tellus A 54, 14–33.
   Google Scholar
• Thiebaux, H. 1975. Experiments with correlation representation for objective analysis. Mon. Wea. Rev. 103, 617–627.
   Web of Science ®Google Scholar
• Toffolon, M., Piccolroaz, S., Majone, B., Soja, A.-M., Peeters, F. and co-authors. 2014. Prediction of surface temperature in lakes with different morphology using air temperature. Limnol. Oceanogr. 59, 2185–2202. DOI:10.4319/lo.2014.59.6.2185.
   Web of Science ®Google Scholar
• Unden, P., Rontu, L., Järvinen, H., Lynch, P., Calvo, J. and co-authors. 2002. HIRLAM-5 scientific documentation: HIRLAM-5 Project, c/o Per Unden SMHI, S-601 76. NorrkŁoping, Sweden. Online at: http://hirlam.org
   Google Scholar
• Walsh, S. E., Vavrus, S. J., Foley, J. A., Fisher, V. A., Wynne, R. H. and co-authors. 1998. Global patterns of lake ice phenology and climate: Model simulations and observations. J. Geoph. Res. 103, 28825–28837.
   Web of Science ®Google Scholar
• Williamson, C. E., Overholt, E. P., Pilla, R. M., Leach, T. H., Brentrup, J. A., co-authors. 2015. Ecological consequences of longterm browning in lakes. Sci. Rep. 5, 18666. DOI:10.1038/srep18666.
   Web of Science ®Google Scholar
• Woolway, R. I., Jones, I. D., Feuchtmayr, H. and Maberly, S. C. 2015. A comparison of the diel variability in epilimnetic temperature for five lakes in the English Lake District. Inland Waters 5, 139–154. DOI:10.5268/IW-5.2.748.
   Web of Science ®Google Scholar
• Zhao, L., Jin, J., Wang, S.Y., and Ek, M.B. 2012. Integration of remote-sensing data with wrf to improve lake-effect precipitation simulations over the great lakes region. J. Geoph. Res. 117, D09102. DOI:10.1029/2011JD016979.
   Web of Science ®Google Scholar