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Comparison of TWP-ICE Satellite and Field Campaign Aircraft Derived Cloud Properties J. K. Ayers J. K. Ayers 1 , P. Minnis , P. Minnis 2 , D. A. Spangenberg , D. A. Spangenberg 1 , M. L. Nordeen , M. L. Nordeen 1 , M. M. Khaiyer , M. M. Khaiyer 1 , R. Palikonda R. Palikonda 1 , L. Nguyen , L. Nguyen 2 , and D. N. Phan , and D. N. Phan 1 1) 1) Science Systems and Applications Inc. Science Systems and Applications Inc. 2) 2) NASA Langley Research Center, Climate Science Branch NASA Langley Research Center, Climate Science Branch References Minnis, P., D. P. Garber, D. F. Young, R. F. Arduini, and Y. Takano, 1998: Parameterization of reflectance and effective emittance for satellite remote sensing of cloud properties. J. Atmos. Sci., 55, 3313-3339. Minnis, P., L. Nguyen, W. L. Smith, Jr., M. M. Khaiyer, R. Palikonda, D. A. Spangenberg, D. R. Doelling, D. Phan, G. D. Nowicki, P. W. Heck, and C. Wolff, 2004: Real-time cloud, radiation, and aircraft icing parameters from GOES over the USA. Proc. 13 th AMS Conf. Satellite Oceanogr. and Meteorol ., Norfolk, VA, Sept. 20-24, CD-ROM, P7.1. Acknowledgement This research supported by the ARM Program via ITF No. 18971 with NASA LaRC through Batelle, PNNL. Special thanks to Richard Austin for providing the ACR images and to Clive Cook and Jim Mather for the Lidar Image. 2. Methodology VISST Visible Infrared Solar-Infrared Split Window Technique • Utilizes parameterization of theoretical radiance calculations for 7 water and 9 ice crystal size distributions (Minnis et al. 1998) • Retrieves cloud properties by matching calculations to MTSAT-1R multispectral observations • MTSAT-1R hourly, 4-km pixel resolution data • Profiles from Global Forecast Model (GFS) • CERES NB-BB Conversion Coefficients • IGBP Scene ID • Compare to in-situ & surface data when possible 1. Motivation To provide large-scale satellite derived cloud and climate information for the Tropical Western Pacific Region. This information, validated by ARM ground- based and Tropical Warm Pool-International Cloud Experiment (TWPICE) in-situ measurements, gives insight to the impact of deep convective clouds in the region and supports ARM’S goal of characterizing the world’s major climate regimes. Summary Cloud and radiation products derived from the MTSAT- 1R satellite have been developed for TWP-ICE. These include pixel-level, gridded, and ground site and aircraft matched. These products are available from the Langley website and the ARM data center. As shown in Figs 2, and 4-6 these products compare favorably with in-situ ground and aircraft based measurements. With additional quantitative validation these products can provide valuable information about tropical convection and its impact on the radiation budget and climate. As new algorithm improvements, such as multi-layer cloud detection, are implemented these products will be reprocessed and updated. 3. Products Cloud Macro and Microphysical Properties Pixel-level Binary data retrieved at instrument nominal resolution (τ, r e , LWP, IWP, Phase, etc) (Minnis et al. 2004) Gridded 0.5º or 1.0º means separated by cloud height or by phase. Surface Site Radial Averages Means of pixel-level quantities within a 10 or 20-km radius centered at ARM and TWPICE surface sites. Aircraft Matched Weighted average of 4 pixels nearest to aircraft flight path. 4. Pixel-Level Products Figure 1. Jan. 23 0433 UTC VISST derived cloud products. (a) Shortwave albedo, (b) Effective cloud height; km, (c) Effective cloud temperature; K, (d) Effective ice particle diameter; µm 5. Surface Site Radial Averages 0 5 10 15 20 15 20 25 30 35 40 45 Cloud Height (km) Day of Year Mean = 9.7 km StDev = 4.1 km N = 662 Figure 2. Satellite derived cloud properties over the Darwin ground site. (a) Cloud Fraction Comparison, (b) Effective Cloud Height 6. Aircraft Matched b a 80-100% 0 2 4 51 50-80% 3 4 3 5 20-50% 14 2 2 1 0-20% 7 0 0 0 0-20% 20-50% 50-80% 80-100% T S I VISST Mean TSI - 73%, VISST - 67% a b c d Figure 3. Twin Otter 23 January flight track overlay on VISST Cloud Products. *a) Cloud Top Height, (b) IWP a b Figure 4. Comparison of Jan. 23 VISST derived cloud boundaries with the 94 GHz Cloudsat/JPL airborne radar (ACR) onboard the Twin Otter VISST Cloud Top VISST Cloud Base Figure 5. Same as Fig. 4, for Jan. 29. VISST Cloud Top VISST Cloud Base VISST Cloud Top Figure 6. Comparison of Jan. 29 VISST derived cloud top height with the Twin Otter Lidar https://ntrs.nasa.gov/search.jsp?R=20070022457 2018-06-03T07:47:12+00:00Z

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Comparison of TWP-ICE Satellite and Field Campaign Aircraft Derived Cloud Properties

J. K. AyersJ. K. Ayers11, P. Minnis, P. Minnis22, D. A. Spangenberg, D. A. Spangenberg11, M. L. Nordeen, M. L. Nordeen11, M. M. Khaiyer, M. M. Khaiyer11,,R. PalikondaR. Palikonda11, L. Nguyen, L. Nguyen22, and D. N. Phan, and D. N. Phan11

1)1) Science Systems and Applications Inc. Science Systems and Applications Inc.2)2) NASA Langley Research Center, Climate Science Branch NASA Langley Research Center, Climate Science Branch

ReferencesMinnis, P., D. P. Garber, D. F. Young, R. F. Arduini, and Y. Takano, 1998: Parameterization of reflectance

and effective emittance for satellite remote sensing of cloud properties. J. Atmos. Sci., 55, 3313-3339.

Minnis, P., L. Nguyen, W. L. Smith, Jr., M. M. Khaiyer, R. Palikonda, D. A. Spangenberg, D. R. Doelling, D.Phan, G. D. Nowicki, P. W. Heck, and C. Wolff, 2004: Real-time cloud, radiation, and aircraft icingparameters from GOES over the USA. Proc. 13th AMS Conf. Satellite Oceanogr. and Meteorol., Norfolk,VA, Sept. 20-24, CD-ROM, P7.1.

Acknowledgement

This research supported by the ARM Program via ITF No. 18971 with NASA LaRC through Batelle, PNNL.Special thanks to Richard Austin for providing the ACR images and to Clive Cook and Jim Mather for the Lidar Image.

2. MethodologyVISST

Visible Infrared Solar-Infrared Split Window Technique

• Utilizes parameterization of theoretical radiancecalculations for 7 water and 9 ice crystal sizedistributions (Minnis et al. 1998)• Retrieves cloud properties by matchingcalculations to MTSAT-1R multispectralobservations

• MTSAT-1R hourly, 4-km pixel resolution data

• Profiles from Global Forecast Model (GFS)

• CERES NB-BB Conversion Coefficients

• IGBP Scene ID

• Compare to in-situ & surface data when possible

1. MotivationTo provide large-scale satellite derivedcloud and climate information for theTropical Western Pacific Region. Thisinformation, validated by ARM ground-based and Tropical Warm Pool-InternationalCloud Experiment (TWPICE) in-situmeasurements, gives insight to the impactof deep convective clouds in the region andsupports ARM’S goal of characterizing theworld’s major climate regimes.

SummaryCloud and radiation products derived from the MTSAT-1R satellite have been developed for TWP-ICE. Theseinclude pixel-level, gridded, and ground site andaircraft matched. These products are available from theLangley website and the ARM data center. As shownin Figs 2, and 4-6 these products compare favorablywith in-situ ground and aircraft based measurements.With additional quantitative validation these productscan provide valuable information about tropicalconvection and its impact on the radiation budget andclimate. As new algorithm improvements, such asmulti-layer cloud detection, are implemented theseproducts will be reprocessed and updated.

3. ProductsCloud Macro and Microphysical Properties

Pixel-levelBinary data retrieved at instrument nominalresolution (τ, re, LWP, IWP, Phase, etc) (Minnis et al. 2004)

Gridded0.5º or 1.0º means separated by cloud heightor by phase.

Surface Site Radial AveragesMeans of pixel-level quantities within a 10 or20-km radius centered at ARM and TWPICEsurface sites.

Aircraft MatchedWeighted average of 4 pixels nearest toaircraft flight path.

4. Pixel-Level Products

Figure 1. Jan. 23 0433 UTC VISST derived cloud products.(a) Shortwave albedo, (b) Effective cloud height; km,(c) Effective cloud temperature; K, (d) Effective ice particle

diameter; µm

5. Surface Site Radial Averages

0

5

10

15

20

15 20 25 30 35 40 45

Clo

ud H

eigh

t (km

)

Day of Year

Mean = 9.7 kmStDev = 4.1 kmN = 662

Figure 2. Satellite derived cloud properties over the Darwinground site. (a) Cloud Fraction Comparison, (b) Effective CloudHeight

6. Aircraft Matched

ba

80-100% 0 2 4 5150-80% 3 4 3 520-50% 14 2 2 10-20% 7 0 0 0

0-20% 20-50% 50-80% 80-100%

TSI

VISST

Mean TSI - 73%, VISST - 67%

a b

c d

Figure 3. Twin Otter 23 January flight track overlay on VISSTCloud Products. *a) Cloud Top Height, (b) IWP

a b

Figure 4. Comparison of Jan. 23 VISST derivedcloud boundaries with the 94 GHz Cloudsat/JPLairborne radar (ACR) onboard the Twin Otter

VISST Cloud Top

VISST Cloud Base

Figure 5. Same as Fig. 4, for Jan. 29.

VISST Cloud Top

VISST Cloud Base

VISST Cloud Top

Figure 6. Comparison of Jan. 29 VISST derivedcloud top height with the Twin Otter Lidar

https://ntrs.nasa.gov/search.jsp?R=20070022457 2018-06-03T07:47:12+00:00Z