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First 1658 results for ” M.; Vardavas”

1. Should seasonal forecasts be used for flood preparedness?

   Should seasonal forecasts be used for flood preparedness? Erin Coughlan de Perez, Elisabeth Step...

   E Coughlan de Perez, E Stephens, K Bischiniotis, M van Aalst, BJJM van den Hurk, S Mason, H Nissan, F Pappenberger | Status: accepted | Journal: Hydrology and Earth System Sciences | Volume: 21 | Year: 2017 | doi: https://doi.org/10.5194/hess-21-4517-2017

   Publication

2. A regional peaks-over-threshold model in a nonstationary climate

   Regional frequency analysis is often used to reduce the uncertainty in the estimation of distribu...

   M Roth, TA Buishand, G Jongbloed, AMG Klein Tank, JH van Zanten | Status: published | Journal: Water Resour. Res. | Volume: 48 | Year: 2012 | First page: W11533 | doi: 10.1029/2012WR012214

   Publication

3. Isoprene emissions track the seasonal cycle of canopy temperature, not primary production: evidence from remote sensing

   Isoprene is important in atmospheric chemistry, but its seasonal emission pattern – especially in...

   PN Foster, M van Weele, et al. | Status: published | Journal: Biogeosciences | Volume: 11 | Year: 2014 | doi: 10.5194/bg-11-3437-2014

   Publication

4. Offshore wind climatology based on synergetic use of Envisat ASAR, ASCAT and QuikSCAT

   Highlights: • We combine satellite surface ocean wind vector data from three satellites. • Offsho...

   C Hasager, A Mouche, M Badger, F Bingol, I Karagali, T Driesenaar, A Stoffelen, A Pina, N Longepe | Status: published | Journal: Remote Sens. Environ. | Volume: 156 | Year: 2014 | First page: 247 | Last page: 263 | doi: doi:10.1016/j.rse.2014.09.030

   Publication

5. The Bjerknes feedback in the tropical Atlantic in CMIP5 models

   Coupled state-of-the-art general circulation models still perform relatively poorly in simulating...

   A Deppenmeier, RJ Haarsma, W Hazeleger | Status: published | Journal: Clim. Dyn. | Year: 2016 | doi: 10.1007/s00382-016-2992-z

   Publication