3d exploration of weather data in combination with iasi l2...

Royal Netherlands Meteorological Institute Ministry of Infrastructure and the Environment

3D Exploration of Weather Data in Combination with

IASI L2 Products for Better Understanding of

Potential Applications

Michal Koutek, S. de Haan,

I. van der Neut, F. Debie,

P. de Valk (KNMI), S. Tjemkes (EUMETSAT)

Email: [email protected] Date: 25-09-2014

3D Exploration of Weather Data in Combination with IASI L2 Products M. Koutek, KNMI, 25-09-2014

Preliminary Visualization study for the MTG – IRS project

MTG-IRS objectives: • To support regional NWP in Europe,

through detailed 3D fields of temperature, humidity, and wind at high vertical, horizontal and temporal resolution

• To support now-casting and very-short range forecasting

Obviously, a lot of effort is put into development of L2 algorithms and products.

• • •

•

•L0

•L0

•L1

•L1 processing

•Spectral sounding

•Interferogram •Earth

•Dwell

•Detection element

•time

• number

•wave


IASI: Polar-Orbiting Hyper-Spectral Sounder

IASI as proxy for IRS


Input data for our visualization study: MTG-IRS L2 Proxy (IASI) Data EUMETSAT provided us with: • Point-profiles at ECMWF levels with prior fields (ECMWF)

and retrieved fields (IASI L2): • Temperature, specific humidity, and relative humidity

• Quality control indicators We have computed derived fields such as Theta-W. Besides pressure information we need geometric height for 3D grid.

Note on retrieval algorithm: EUMETSAT implemented the UWPHYSRET algorithm as the IRS Level 2 Development and Validation Processor (IRS-L2DVP).


Statistics: Important step in understanding • Statistical methods such bias and standard

deviation provide a global overview of the numerical quality of the retrievals.

• What can be the next step beyond statistics and numerical analysis?

bias std. deviation bias std. deviation

[KNMI: Siebren de Haan, Gert-Jan Marseille, Paul de Valk]


Next Step: Visualization and Exploration

Our approach: • Apply a well-established concept of interactive 3D visualization

of meteorological data that uses Virtual Reality.

=> Weather 3D Explorer application [KNMI]

• Provide meteorological context to the IASI retrieval data with actual satellite and RADAR images, and NWP models such as ECMWF and HARMONIE.

• Let the forecasters and the scientists interactively explore the weather situation and study the 3D profile data.


Selection of weather cases

2013.06.20 09:00 utc 2013.06.20 10:00 utc 2013.06.20 11:00 utc

Which MetOpA/B swath to take for a detailed exploration ?

2012.06.20 2012.07.10 2013.06.20 2013.06.21


Selection of weather cases

2012.06.21 09:00 utc 2012.06.21 11:00 utc

Valid retrieval points and cloude-free areas..


Putting the pieces together ..

2012.06.21 20:00 utc 2012.06.21 20:00 utc


Iso-contours of CLOUDS (HARMONIE model)


Iso-contours of RAIN intensity (HARMONIE model)


Cross-section Theta-W (IASI L2)

Cross-section Theta-W (HARM)

Cross-section Theta-W (IASI L2)


Method: Bring the 3D point-profile data into 3D grid.


Method: Bring the 3D point-profile data into 3D grid.

Specific humidity L2VDP (IASI)


Visualize the gridded profile data in 3D

NOTE: SPARSE DATASET



Visualize the gridded profile data in 3D

NOTE: IT IS A SPARSE DATASET

• 3D cross-sections, color-mapping • 3D iso-surfaces



For context provide satellite images, ECMWF model clouds


Exploring retrieved fields: Temperature Temperature IASI


Exploring retrieved fields: Temperature Temperature ECMWF


Exploring retrieved fields: Temperature Temperature DIFF = IASI - ECMWF


Exploring retrieved temperature and model temperature

IASI

ECMWF

IASI

ECMWF


Exploring retrieved fields: Relative humidity Rel. humidity IASI


Exploring retrieved fields: Relative humidity Rel. humidity ECMWF


Exploring retrieved fields: Relative humidity Rel. humidity DIFF = IASI - ECMWF


Exploring retrieved fields: Specific humidity Spec. humidity IASI


Spec. humidity ECMWF

Exploring retrieved fields: Specific humidity


Spec. humidity DIFF = IASI - ECMWF

Exploring retrieved fields: Specific humidity


Interesting observations: Specific humidity


Interesting observations: Temperature


Interesting observations: Theta-w 2013.06.20 09:00utc


Interesting observations: Theta-w 2013.06.20 13:00utc Theta-w (IASI)


Interesting observations: Theta-w 2013.06.20 13:00utc Theta-w (ECMWF)


Interesting observations: Theta-w 2013.06.20 13:00utc Theta-w (DIFF) IASI - ECMWF


Exploring differences: Temperature

Background: ECMWF cross-section Foreground: IASI data points


Exploring differences: Relative humidity



Exploring differences: Specific humidity



Time for short videos


Conclusions

• Interactive 3D exploration may be very helpful for understanding of actual weather situation and interpretation of retrieved atmospheric profiles.

• We cannot make the data better than they actually are, but we can make the relevant data clearly visible in the right context.

• The difference between prior and posterior fields has to be studied and better understood.


More information:

http://www.knmi.nl/samenw/w3dx/images/3D-demos/presentation-3D-VIS-IASI-in-W3DX-at-eumetsat/#w3dxIasiDemos Or just google: “w3dx iasi knmi” ;-) Thank you for your attention.

http://www.knmi.nl/samenw/w3dx/images/3D-demos/presentation-3D-VIS-IASI-in-W3DX-at-eumetsat/#w3dxIasiDemos


















3d exploration of weather data in combination with iasi l2...

Documents