PPT-The Validation of Climate Models:

The Development of Essential Practice Richard B Rood University of Michigan Wundergroundcom NOAA ESRL 29 February 2012 Deep Background As a manager at NASA I felt a responsibility to deliver a series of model products addressing a specific set of scientific capabilities on time on budget. May 2013. Neil Comer. Senior Climatologist, . Risk Sciences International. Adjunct, . University of Prince Edward Island. University of Toronto-Scarborough. Information Overload . ?. Headlines. Climate Science: Time to raft up. Ovidiu P. â. rvu. , PhD student. Department of . Computer Science. Supervisors: Professors . David Gilbert. and . Nigel Saunders. Why?. 2. Predicted. behaviour. Simulations. Natural. biosystem. Computational. hadronics. J. Apostolakis. PH/SFT. 1. Coordination, release preparation . (staff). G4 Spokesperson/SB Chair, Release manager/QA. Physics Validation . (mix of staff/associates/fellow). Thin-target benchmark data. The Development of Essential Practice. Richard B. Rood. University of Michigan. Wunderground.com. NOAA, ESRL, 29 February 2012. Deep Background. As a manager at NASA . I felt a responsibility to deliver a series of model products addressing a specific set of scientific capabilities, on time, on budget.. Patricia Hanson, Biological Administrator I. Florida Department of Agriculture and Consumer Services, Food Safety Microbiology Laboratory. Introduction. 17 years in the microbiology section of the Florida Department of Agriculture and Consumer Services, Food Laboratory. Outline. Motivation. Holdout set. Re-sampling techniques. Three-way . data splits. Motivation. Validation techniques are motivated by two fundamental problems in . data mining: model . selection and performance estimation . Patricia Hanson, Biological Administrator I. Florida Department of Agriculture and Consumer Services, Food Safety Microbiology Laboratory. Introduction. 17 years in the microbiology section of the Florida Department of Agriculture and Consumer Services, Food Laboratory. radiometry. Peter Minnett. 1. , Gary Corlett. 2. & . ISSI Team. 1. Rosenstiel School of Marine and Atmospheric Science. University of Miami. 2. University of Leicester, Department of Physics and Astronomy. Patrick Jantz, Tina. Cormier, Scott Zolkos, . Scott Goetz and the LCCVP Group. NASCB July 10, 2014. Missoula, MT. Photo credit: . Andri. . Kyrychok. Appalachian LCC. Appalachian LCC. Summarize existing species distribution model results for the eastern U.S. (Iverson et al. 2008, . Background. P. rotection . of natural areas from development is . a growing concern for many reasons. One of them is that threatened . and endangered . (T&E) species are . commonly regarded as being . Croatian Quants Day. Zagreb, June 6, 2014. Vili Krainz. vili.krainz@rba.hr. The views expressed during this presentation are solely .   those of the author. Introduction. Credit risk – . The risk that one party to a financial contract will not perform the obligation partially or entirely. Climatology. is . the study of Earth’s climate and the factors that affect past, present, and future climatic changes.. Climate describes annual variations of temperature, precipitation, wind, and other weather factors.. Climate envelope models (CEMs) are a subset of species distribution models (SDM) which attempt to define a species’ climate “niche.” CEMs correlate species presence locations to a set of Examples of the both fine-scale and larger-scale signature of climate and climate history include:. Effect of differences in climate on landforms . Relict . topography formed by now inactive . processes..