GRUAN / NOAA (STAR) Coordination · GRUAN reference observations are calibrated through an unbroken...
Transcript of GRUAN / NOAA (STAR) Coordination · GRUAN reference observations are calibrated through an unbroken...
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GRUAN / NOAA (STAR) Coordination
Tony Reale NOAA/NESDIS
Center for Satellite Applications and Research (STAR)
Bomin Sun, Michael Pettey, Frank Tilley, Charles Brown and Nick Nalli
(IMSG)
NOAA Center for Weather and Climate Prediction College Park, Md
July 28, 2016
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Outline GRUAN and NPROVS+
JPSS Products Cal/Val Support GRUAN and Uncertainty Integration Analytical directions
EDR cal/val … SDR cal/val Examples (NUCAPS, NWP, GPSRO …)
Summary
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GRUAN reference observations are calibrated through an unbroken traceability chain to SI or community standards with the uncertainty interval in each step in the chain “fully characterized”, meaning the resulting estimates can be used with high confidence that the true measurement is within the interval … Among the primary objectives of GRUAN is the constraining and inter-calibration of data from other more spatially extensive observing systems such as satellites and the current radiosonde network.
GRUAN Peter Thorne (Maynooth, Ireland) , Greg Bodeker (New Zealand)
Ruud Dirksen (Lead Center, DWD, Lindenberg, Germany) …
WWW.GRUAN.ORG
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NPROVS
Collocation Archive
NPROVS NPROVS+
Conv Radiosondes
+GFS
GRUAN & DOE/ARM
Radiosondes
NUCAPS (S-NPP)
NUCAPS Parallel (STAR)
NOAA IASI MetOp-A (OSPO)
MetOp-B (STAR FTP)
MIRS NPP (Op, v.11)
NOAA-18,19 MetOP-A,B DMSP F18 (STAR FTP,
OSAPO)
AIRS v.6 (NASA)
EUMETSAT IASI
MetOp-A,B (OSPO)
GOES (OSPO)
ATOVS NOAA-18,19 MetOp-A,B
(OSPO)
COSMIC (UCAR)
GRAS (EUMETSAT)
NPROVS+
Collocation Archive
3 day delay
FTP VALAR
14 day delay
FTP
Algorithm Development
Visualization Tools: ODS
PDISP NARCS
INPUTS
PROCESSING
OUTPUTS
NPROVS/NPROVS+ Data Management Schematic
ECMWF
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Collocation Criteria:
+/- 6-hour
250 km
Single Closest (anchored to Field-of Regard)
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• Sounding is performed on 50 km field of regard (FOR).
• FOR is currently defined by the size of the microwave sounder footprint.
• IASI/AMSU has 4 IR FOV’s per FOR
• AIRS/AMSU & CrIS/ATMS have 9 IR FOV’s per FOR.
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Barnet, Prov
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GRUAN and JPSS funded Dedicated (S-NPP *) RAOB Sites January 2013 to July 2016
N P R O V S +
* *
*
* * *
* Vaisala RS92 RS41
(JPSS / ARM provide significant global component of S-NPP synchronized Raob)
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Global Climate Observing System (GCOS) Reference Upper Air Network
(GRUAN)
JPSS/ARM Funded Dedicated RAOB (Lihang Zhou (STAR), Lori Borg (SSEC), Donna
Holdridge (Argonne) , Jim Mather (ARM) …)
• DOE ARM (SGP, NSA, ENA) SSEC, ANL … (2) per week GRUAN Processed (v2 v3) includes dual sequential …
• AEROSE (GP) • CALWATER, El-Nino RR
• ARM Mobile • Sterling Test Site • CIRA
N P R O V S +
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GRUAN Uncertainty Integrated in
NPROVS+ analytic interface (PDISP)
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Given two measurement (m1, m2), their uncertainty (u1, u2) and variability (σ), then two observations are consistent if:
“k” .le. 2:
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21
221 uukmm ++<− σ
Worst case “k” for SAT:
“k” = ABS(SAT – GRUAN) / u2
where u2 is GRUAN uncertainty, sigma and u1 equal 0
GRUAN Reference Measurement Principles
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Given worst case “k” profile, what is value of ( ) such that that “k=2” ?
GRUAN Reference Measurement Principles
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2 u+σ ~ ((“k”/2)2 –1) (u2)2 Assume sigma small: u1 = ((“k”/2)2 –1)1/2 (u2) Assume u1 = a(u2):
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2 u+σ
σ = ((“k”/2)2 –1 – a2)1/2 (u2)
… uncertainty due to measurement differences and mismatch
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… estimate uncertainties for satellite products
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+/- 6hr, 150km 5000
+/- 1hr, 50km 300
GRUAN Processed and Accepted; IR pass QC GRUAN Processed and Accepted; IR pass QC
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+/- 6hr, 150km
“Spec” RMS
“k”
5.4u2 3.8u2
0.7u2
2
GRUAN Processed and Accepted; IR pass QC
Mean Profile
Temp
7.2u2 6.8u2 1.8u2
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“Spec” RMS
“k”
2
+/- 1hr, 50km
GRUAN Processed and Accepted; IR pass QC
Mean Profile
Temp
5.4u2 3.3u2
0.7u2
7.4u2 6.6u2 1.6u2
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4.1u2 4.7u2 5.3u2
+/- 6hr, 150km
2
“Spec” RMS
“k”
GRUAN Processed and Accepted; IR pass QC
Mean Profile
H20 vapor fraction
Mix ratio
2.8u2 2.5u2 0.0u2 ?
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2
“Spec” RMS
“k”
+/- 1hr, 50km
GRUAN Processed and Accepted; IR pass QC
Mean Profile
H20 vapor fraction
Mix ratio
5.0u2 4.5u2 4.3u2
2.3u2 2.5u2
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The Forgotten Water Vapor at High Altitudes Scientists find that estimations of high-altitude atmospheric water, critical for the greenhouse effect, are not as accurate as previously thought.
Geir, About a year ago I did a quick study of the UT water vapor biases between MLS and FPs at Hilo and Costa Rica (i.e., tropical sites). I looked only at 121 and 147 hPa because I was interested in the differences in the amounts of water vapor input to the TTL implied by the different data sets. The mean biases at 147 hPa over both sites were 3-4 ppmv, with MLS drier than the FPs. The FP mixing ratios at 147 hPa ranged from 5-25 ppmv, most were 10-25 ppmv, and the 3-4 ppmv differences occurred at mixing ratios >15 ppmv. Cheers, Dale
Hello again Dale, Thank you for these details. Despite the dry bias of MLS that you describe, the MERRA and ERA Interim reanalysis remain quite wet compared to the FP measurements. The MLS dry bias you indicate is not enough to compensate for the 150% wet bias in the reanalysis, as far as I can see. Cheers, Geir
Hi Geir, I was not claiming that the wet biases in the reanalysis wrt MLS would go away if the MLS dry biases were considered, only that the wet reanalysis biases might be reduced when FPs are used instead. Cheers,Dale
Hi Dale, I did not think that you meant to claim that. But it was just good to make sure that I understood you correctly. I think the main conclusion is that we need many more water vapour measurements in the UTLS region. Cheers, Geir
https://eos.org/research-spotlights/the-forgotten-water-vapor-at-high-altitudes
… informal email exchange Geir Braathen (WMO) and dale Hurst (NOAA ESRL)
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… estimate “sigma”
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(COSMIC GPSRO provides candidate reference temperature in stratosphere)
Occulting LEO
Occulting GPS
Ionosphere
Neutral atmosphere
Earth
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Drift … 100 km
100 minutes
100 seconds
“Sigma” for RAOB vs GPSRO can be significant even if observations timely
150km
Point measurements
300km
GPSRO RAOB
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All GRUAN 16904
GRUAN/COSMIC 3273
GRUAN/COSMIC +/-1hr/150km 36
Need to better target GRUAN collocations with GPSRO (and polar satellites)
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… assuming that u1 is some multiple of u2 simplifies an estimation of the more elusive σ. For example, setting u1 equal to u2, and substituting the mean u1 for the 36 profiles, approximately 0.15 K, yields an order of magnitude estimate of 0.40 K for σ (“k~6”) over the layer 100 to 50 hPa (see slide 13). Given these, Fig (2) suggests that 1.1 K RMS difference is within the margin of consistency for GRUAN RAOB and COSMIC temperature profiles collocated within one (1) hour and 100 km for the layer
COSMIC-minus-GRUAN “k” profile analysis … slide 19
2
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… feedback to GRUAN
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Day +/- 2hr 150km
GPSRO-minus-RAOB Temp
Bias S. Dev
GPSRO suggest GRUAN (and ECMWF) too warm aloft during day … Sun et.al, JGR, 2013
Feedback to GRUAN …
S T R A T O S P H E R E
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Nite +/- 2hr 150km Bias S. Dev
Feedback to GRUAN …
S T R A T O S P H E R E
GPSRO-minus-RAOB Temp
GPSRO suggest GRUAN (and ECMWF) OK at night … Sun et.al, JGR, 2013
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SAT-RAOB Temp “k”
Day +/- 2hr 150km
“k”
“k” analysis suggests GRUAN uncertainty estimate may be too large during day …
Feedback to GRUAN …
S T R A T O S P H E R E
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Nite +/- 2hr 150km
SAT-RAOB Temp
“k”
Feedback to GRUAN …
S T R A T O S P H E R E
“k” analysis suggests GRUAN uncertainty estimate may be too low during day …
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Summary NPROVS+ operated at STAR provides long-term stewardship of collocated GRUAN and (multiple) Satellite observations Satellite synchronized (dedicated) radiosondes funded through JPSS (and ARM) effectively expands GRUAN and provide key observations for accuracy assessments Integration of the GRUAN uncertainty can provide estimates of satellite product uncertainty (albeit constrained to validation dataset) … and sigma Integration of the GRUAN uncertainty provides feedback to GRUAN
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+/- 3hr, 50km
2
“Spec” RMS
“k”
4.1u2 4.7u2 4.9u2
GRUAN Processed and Accepted; IR pass QC
Mean Profile
H20 vapor fraction
Mix ratio
2.5u2
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+/- 3hr, 50km
2
“Spec” RMS
“k”
4.8u2 3.3u2
0.7u2
GRUAN Processed and Accepted; IR pass QC
Mean Profile
Temp