CIRA Support to NWS CSTAR Workshop Ken Eis (970) 491 …

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Transcript CIRA Support to NWS CSTAR Workshop Ken Eis (970) 491 …

Overview of the Cooperative
Institute for Research in the
Atmosphere (CIRA)
CIRA Description
Cooperative Institute
with NOAA
 NESDIS
 NWS
 ESRL
Non-degree granting
unit in Engineering
Multi-disciplinary focus
Coop Institute with NPS
 USFS
 USGS
Center for Geosciences DOD funded
Satellite and remote
sensing center of
excellence
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
NOAA CI Research Themes
Global and Regional Climate Studies
Local Area and Mesoscale Weather Forecasting and
Evaluation
Modeling and Data Assimilation
Applications of Satellite Observations
Air Quality and Visibility
Education, Training, and Outreach
Societal and Economic Impacts
Cloud Physics
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
Satellite Ingest and Infrastructure
These three images are the first full disk images from GOES-8, GOES-9, and GOES10 and as captured at CIRA. GOES-11 also being ingested at this time.
CIRA archives all GOES, GMS, Meteosat, CloudSat and AVHRR satellite info at
full data and JPG formats. Current holding are over 10,000,000 files and 100
TBytes of satellite data.
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
Thin Cirrus Detection and Characterization
Dr. Stan Kidder, Mr. Ken Eis & Dr. Mike Kelly
Objective
 Detect and characterize thin
cirrus which is not detectable
from conventional surface
observations, yet contaminates
satellite observations of land and
water features as well as aerosol
detection. Aircraft operating at the
same altitude as the cirrus (aerial
refueling and surveillance
missions) are severely impacted.
3.9 µm
Albedo
Cirrus is
black
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
Satellite Microwave Retrievals
Over Ocean and Land
Mr. John Forsythe, Dr. Andy Jones,
Dr. Stan Kidder & Prof. Tom Vonder Haar
Objectives



To Implement and validate a
combined Microwave Optimal
Estimation (MOE) water vapor
profiling algorithm over ocean
and land.
Simultaneous retrieval of
temperature and moisture
profiles, surface emissivity, and
cloud liquid water.
To apply this tool to relate
research in CG/AR.
Need moisture profiles over
land as well as ocean!
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
New CLEX Results Confirm Maximum of Supercooled
Liquid Water Near Tops of Altostratus
Not the “classic” cloud profile!
Temperature ( C)
-20
o
Height (km)
5
LWC
IWC
-15
4
-10
3
-5
Altostratus deck observed during
CLEX from North Platte Airport
0.00
0.05
0.10
0.15
0.20
-3
Water Content (g m )
0.25
The vertical profile of LWC (black diamonds)
and IWC (blue diamonds) during the 14 October
2001 straight-line ascent from 1440 to 1510 UTC.
In collaboration with NC State, Texas A&M, UW-Milwaukee and USAF (AFIT)
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
Applications of Satellite Observations
Roadmap
 Assist NOAA in determining what satellite data will be candidates for data
assimilation. In the next decade there will be 100 new environmental
satellites launched and hundreds of new sensors/data streams. NOAA will
be unable to assimilate all of these new data into its forecast process so the
question will be which mix will provide the most bang for the buck.
 Develop new exploitation techniques for:




Multi-platform, multi-sensor assimilation
Hyperspectral assimilation and frequency weighting
Improved vertical resolution using hyperspectral techniques
Improve timeliness in NESDIS’s exploitation of newly launched sensors
 Continue to train NWS forecasters in these new techniques.
 Improve infrastructure techniques to allow larger and more computationally
intensive exploitation methods to be implemented. One of the specific
issues is the packaging of ancillary data for scientists to allow the better
utilization of satellite data.
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
CloudSat Mission Support
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
Surface wetness product - trafficability,
agriculture, flood forecasting, fog
transportation safety
New trend in remote sensing
merge models and satellite sensor data
to produce customer-usable products
Image on left shows the
soil wetness measured
from satellite and
interpreted by model,
giving unprecedented
resolution that will help
agriculture, and
forecasters. Left figure
represents current
capability. Working on
data assimilation using
microwave and
temperature data from
satellites
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
Basic CASC2D Watershed Model Expanded for Sediment
and Chemical Transport Use

CASC2D model from
CSU supported by
USACE–WES
0
0
3
1

New applications for
managing
environmental quality
on military lands
CASC2D
Conceptual
Model 0
1
Rainfall
2
So
4
21
16
Retention
Interception
Infiltration
27
2-Hour Forecast of
Zinc Concentration:
California Gulch CO
Potential application to Homeland Security issues
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
Data Assimilation – The Process
Forward Models
Observations
Satellite
VIS & IR
UAV
LIDAR
Radar
IR
Radiation
Micro.
Radiation
Radar
GPS
Sat.
Micro
RF
PROP
LIDAR
SFC
Physics
Forecast Models
RAMS
ETA
BFM
MM5
WRF
ECMWF
Assimilation Methods
Ensemble
Bayesian
4DVAR
3DVAR
OI
COAMPS
Physics Parameterizations
Cloud
Surface
Fluxes
Convective
Rain
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
CG/AR’s Data Assimilation Project Has Developed a Unique Mesoscale
Satellite Data Assimilation Technique for Cloudy Atmospheres
Reduced Extent
Increased
Extent
Observed Visible
Image
9-Hour Forecast Cloud
Without Assimilation
9-Hour Forecast Cloud
With Assimilation

Uses RAMS model for data assimilation (RAMDAS)

GOES weather satellite visible and infrared data
assimilated here
Result: Improved Forecasts of BOTH Cloud and Wind Fields
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
Hurricane Intensity Forecast Research
 GOES and satellite altimetry data
used for improving NHC’s
operational SHIPS statistical
intensity model
 GOES predictors improve east
Pacific forecasts by almost 10%
 GOES and Ocean Heat Content
improve Atlantic forecasts by 23%
 Larger improvement for storms in
high OHC areas
 Data from aircraft recon flights
also being used to improve
SHIPS
TPC’s operational OHC
product for Hurricane Katrina
from satellite altimetry
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
Community Outreach Activities
 GLOBE Program *
 National Emergency Management Training
 National Weather Service Warning Coord training for
Meteorologists/Hydrologists
 COMET Hydro/Met training
 VISIT program
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
The GLOBE Program
(CSU, UCAR (Boulder, CO) and NASA)
Science Protocols:
 Atmosphere / Climate
 Hydrology
 Soil
 Landcover / Biology
 Phenology
A K-12 science education program that
brings together students, teachers, and
scientists to:
Enhance environmental awareness of
individuals throughout the world
Contribute to scientific understanding
of the Earth
Support improved student achievement
in science and mathematics
Research Serving our
Community Schools:
•
24,000 teachers trained
• 14,000 schools involved
• 10 million measurements taken
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
Conclusion
Subsequent Briefings will clarify details
Please forward any questions to Ken Eis at
[email protected]
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA
Poster Session
1 minute advertisements
Viewing will be in CIRA building
Best poster winner will be announced by Mark
DeMaria at the end of the Symposium
CIRA - Colorado State Univ (970) 491-8397 [email protected]
CIRA