Hi, my name is Subhrendu Gangopadhyay. I'm a hydrologic
engineer at the Bureau of Reclamation's Technical Service Center in Denver.
I'll be introducing the Downscaled Climate and
Hydrologic Projections website, a resource
for climate impacts analysis. The projection site
includes downscale climate and hydrology projections
for the contiguous United States and parts of Canada and Mexico
derived from contemporary global climate models
I will also be introducing you
to an online lesson which provides
necessary background information on what you need to understand
about how these datasets were developed
knowing about this will help you use this site
effectively to retrieve climate and hydrology projections data
for your impacts analysis. I also wanted to mention
that the projection site is the result of collaboration between
several federal and non-federal partners.
Note that when I use the term data in this video
I'm referring to a model data product and not
raw data collected from an observation network.
To make use of the Downscaled Climate and Hydrology Projections website
it is first important to understand how hydro-climate data is developed for
use in regional impact studies from climate projections.
What we are really doing on this site
is taking the results of global climate modeling
and bringing it down to a scale where it can be used
for assessing regional climate change impacts.
In order to effectively use the Site,
you need to have a basic understanding of some
key concepts. These key concepts are explained
in this online lesson available from the COMET program
on the MetEd website. This online lesson which takes about
4 to 5 hours to complete is made up of 4 chapters.
These explain the process of selecting and using
the best available climate projections information.
Chapter 1 introduces important terminology
and processes for global climate modeling. Chapter 2
focuses on how coarse-scale global climate model projection data
is processed using bias correction,
and spatial downscaling to make it relevant for regional impacts assessment.
The projection side provides already bias corrected
and spatially downscaled data. This data is used to inform
climate change scenarios. Chapter 3
explains first hard to define climate change scenarios
and then how to select specific projections
to inform those scenarios based on the bias corrected
and downscaled data from the projection site. Chapter 4
shows how to develop detailed temperature
and precipitation data for inputs to
impacts models. Finally chapter 5
provides a summary and covers a few additional data considerations.
As climate science continues to evolve
the climate model resources on this site will be updated
so be sure to check back periodically. Thanks for watching.