Land surface models (LSMs) exist within a wide spectrum of complexity. Current
NOAA/NCEP/EMC LSMs, such as the Noah LSM, use a bulk surface treatment,
meaning the vegetation, snow, and soil surface are treated as a combined unit with one
surface temperature. Bulk LSMs have been effective at providing accurate lower boundary
condition fluxes of heat and water to the atmosphere in operational settings.
Recent LSM developments such as the Noah-MP LSM consider a more process-based
approach, with multi-layer snow packs and explicit vegetation canopies that have dynamic
growth. These new LSMs can more accurately simulate situations when surface
heterogeneities exist (e.g., canopy overlying snow), provide more detailed information
about individual land surface processes (e.g., multiple surface temperatures), and
may increase the assimilation of atmospheric and land surface observations to enhance
model performance. Read more...
Dr. Thomas Auligné
Joins JCSDA as New Director
Dr. Thomas Auligné began his tenure as the
JCSDA Director on May 1. Since 2007, Dr. Auligné had been a Project
Scientist at the National Center for Atmospheric Research in Boulder, CO.
There, Dr. Auligné worked exclusively on improving the data
assimilation and Numerical Weather Prediction (NWP) capabilities impacting
both the broader research community as well as operational data
assimilation systems at several JCSDA partner institutions. Much of his
focus has been on the assimilation of cloud (and precipitation) impacted
satellite observations. For a number of years, Dr. Auligné led the
effort to develop the Air Force Weather Agency (now the 557th Weather Wing)
Coupled Assimilation and Cloud Prediction System (ACAPS), which aims to
provide cloud analysis and forecast capabilities based on NWP. Recently Dr.
Auligné has also worked on a multivariate minimum residual method to
improve and increase the number of assimilated Infrared (IR) satellite
radiance observations, through the retrieval of cloud fraction profiles
implemented in the Weather Research and Forecasting model and data
assimilation system (WRF-DA). This technique was also extended for short-
term forecasting of clouds for both aviation and solar energy applications.
Additionally, Dr. Auligné developed the Ensemble-Variational
Integrated Localized (EVIL) algorithm implemented in the Gridpoint
Statistical Interpolation (GSI) data assimilation application for National
Oceanic and Atmospheric Administration / National Weather Service
In the years leading up to his work at NCAR, Dr. Auligné earned
his M.S. degree in Meteorology from the École Nationale de la
Météorologie in Toulouse, France. Dr. Auligné earned his
Ph.D in Atmospheric Physics from the Paul Sabatier University, also in
Toulouse. Dr. Auligné has held positions at both Météo-
France and the European Centre for Medium-Range Weather Forecasts (ECMWF),
focusing on assimilation of the first hyperspectral IR sensor (AIRS) and
satellite radiance variational bias correction schemes, respectively. At
NCAR, he also collaborated on many other projects, including the
development of a variational field alignment algorithm to resolve
displaced cloud fields between the model background and satellite
observations, as well as an observation impact diagnostic tool based on
adjoint sensitivity. Dr. Auligné is also dedicated to outreach in the
atmospheric science community, mentoring several students and postdocs,
participating and lecturing in various data assimilation tutorials, and
organizing several conferences and workshops.
Dr. Auligné is an outdoor sports enthusiast who enjoys mountain
biking, canyoneering, and kiteboarding, to name a few hobbies. He is also
an avid world traveler, having visited over 60 countries. Dr. Auligné
and his wife Synthia have two boys: Eliot (4) and Teiva (2).
Please join us in wishing Dr. Auligné much success as Director of the JCSDA!
The NASA/NOAA/DoD Joint Center for Satellite
Data Assimilation (JCSDA) is pleased to announce a Summer Colloquium on
Satellite Data Assimilation in 2015 engaging graduate students and
individuals with early postdoctoral appointments in the science of data
assimilation for the atmosphere, land and oceans. The program will include
internationally recognized experts in data assimilation, satellite data
use and assimilation, along with opportunities for students to interact
with the lecturers in an informal setting. For more on the Colloquium,
including how to apply, visit the Colloquium webpage. The deadline
to apply for the Colloquium has been extended to April 30, 2015.
On January 14, 2015, an operational upgrade
to the NOAA National Centers for Environmental Prediction (NCEP) Global
Forecast and Analysis (GFS/GDAS) was implemented. The forecast model has
been changed significantly, most notably by a change from Eulerian to
Semi-Lagrangian dynamics and an increase in resolution from Eulerian
T574 (~27 km) to Semi-Lagrangian T1534 (~13 km). Read
The deadline for the JCSDA 2015 Federal Funding Opportunity (FFO) has been extended from
January 15, 2014 to January 26, 2014. The call is for proposals for scientific projects in a variety
of areas related to satellite data assimilation, including cloudy/rainy
radiance data assimilation, optimization of satellite data assimilation,
and improvement of the Community Radiative Transfer Model (CRTM). Applicants are encouraged to
submit letters of intent. For more information, please see the full
Dr. Hendrik Tolman Named to the JCSDA Executive Team
The JCSDA Management Oversight
Board announced the nomination and unanimous approval of Dr. Hendrik
Tolman to serve as the JCSDA Associate Director for the NWS. Dr.
Tolman has also been very recently appointed as the new director of
the NCEP/EMC. Prior to that, Dr. Tolman served as the Branch Chief of
the Marine Modeling and Analysis Branch (MMAB) of the Environmental
Modeling Center (EMC) of NCEP.
Please join us in congratulating Hendrik!
Scientists at the Global Modeling and Assimilation
Office (GMAO) at NASA Goddard Space Flight Center are investigating the
assimilation of Global Precipitation Mission (GPM) Microwave Imager (GMI)
radiance measurements. Current efforts are expanding the all-sky (clear,
cloudy, and precipitating) data assimilation methodology under development
in the GSI system while also determining how the system is reacting to the
assimilation of only clear-sky observations. The ultimate goal is to
routinely assimilate these data to improve weather forecasts including
severe storms and hurricanes as well as to improve global cloud and
2014 JCSDA News Items....