Probability of Cloud-Free Line of Sight (PCFLOS) derived from CloudSat Cloud Profiling Radar (CPR) and coincident CALIPSO lidar data
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1 Probability of Cloud-Free Line of Sight (PCFLS) derived from CloudSat Cloud Profiling Radar (CPR) and coincident CALIPS lidar data Donald L. Reinke, John M. Forsythe, Karen E. Milberger, and Thomas H. Vonder Haar CIRA Colorado State Univ. Fort Collins C Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 1
2 CFLS Problem The Problem: CFLS, beneath an opaque cloud layer, has been impossible to determine, directly, from passive space sensors Corollary: Passive satellites measure cloud tops well and surface observers the bases but neither do an adequate job of characterizing the intervening layers View from passive vis/ir sensor No information about CFLS here Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 2
3 Addressing the Problem Cloud Profiling Radar TA CloudSat Radar Reflectivity A B Passive vis/ir sensors likely see this cloud top as a homogenous opaque layer Sfc Here an opaque cloud at B hides the fact that there is a poor CFLS at levels below the cloud top, while at A it hides a significantly better CFLS just below the upper cloud layer. Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 3
4 C l o u d S a t: 94 GHz Cloud-Profiling Radar Near circular, sun-sychronous orbit ~705km altitude, 14.5 orbits/day, 16-day revisit cycle Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 4
5 CloudSat: 94 GHz Cloud-Profiling Radar Wavelength ~ 3 mm Near-nadir Pointing (0.16 o forward) Pulse Repetition Freq. ~ 4000 Return signal processed every 160 milliseconds (~ 6 times/sec) at 4000 PRF ~ 630 pulses are averaged to produce a vertical cloud image ( profile ) 160 msec = 1.07 km along ground track Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 5
6 1.3 km Granules, Profiles and Bins : CPR footprint & granule size TA 30-km 1 GRANULE = 1 orbit of data (~ 40,786 km / ~ 37,082 profiles) Data Window Sfc Top of Data Window 1.7 km Each Profile has 125 vertical BINS (~30 km) Surface Each vertical bin is 240 m thick START F PRFILE 1.1 km END F PRFILE 1.7 km along-track SATELLITE DIRECTIN F MVEMENT 98.9 minutes per orbit orbits/day Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 6
7 CALIPS: Dual-Channel Lidar (CALIP) Cloud-Aerosol Lidar with rthogonal Polarization 532 and 1062 nm wavelengths Nadir Pointing Vertical resolution 30m, 60m (< 8km) 80m instantaneous footprint Products generated at a horizontal resolution of 333m, 1km, and 5km CloudSat Footprint CALIPS Footprint Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 7
8 CFLS computed at 20 vertical levels L20 L01 CFLS calculation Profiles n For each CloudSat profile, CFLS is determined by looking at 10 o intervals from nadir to 90 o (horizontal) at each of 20 vertical levels. These levels extend from.96-km to 19.2-km altitude at ~1-km intervals. (every 4 bins in the vertical = 4X240m =.96km) Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 8
9 Vertical Level CFLS Calculation View angle from Nadir CFLS is calculated by determining the distance (km) that we can see before encountering a cloud. 0 indicates that we did not have a cloud in the line-of-sight Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 9
10 PCFLS bservation Count & CFLS Distance The probability of Cloud-Free-Line-of-Sight (PCFLS) was generated for each month from June 2006 Aug 2010 January ( ) bservation Count CFLS Distance: For all of the following examples, if the distance to the first cloud encountered was greater than 25km, it was considered a Cloud-Free-Line-of-Sight. (or if there was a cloud-free view to the land/ocean surface) Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 10
11 Comparison With Typical Cloud Fraction Products Probability of CFLS from CloudSat CPR Location: L20 (TA) View: Nadir January MDIS Cloud Fraction (January 2007) Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 11
12 PCFLS from CloudSat CPR Probability of CFLS from CloudSat CPR Location: L20 (TA) View: Nadir January Probability of CFLS from CloudSat CPR Location: L20 (TA) View: Nadir July Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 12
13 PCFLS from CALIPS Lidar Probability of CFLS from CloudSat CPR Location: L20 (TA) View: Nadir January Probability of CFLS from CloudSat CPR Location: L20 (TA) View: Nadir July Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 13
14 CFLS from CloudSat CPR Varying Levels L20 L14 Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 14
15 CFLS from CloudSat CPR Varying Levels 10-km altitude view: nadir Probability of CFLS from CloudSat CPR January km altitude view: nadir 2-km altitude view: nadir Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 15
16 CFLS from CloudSat CPR Varying View Angle L20 L14 Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 16
17 PCFLS from CloudSat CPR Varying View Angle 5-km altitude view: Nadir 5-km altitude view: 50 o off nadir 5-km altitude view: 60 o off nadir 5-km altitude view: 70 o off nadir Probability of CFLS from CloudSat CPR January km altitude view: 80 o off nadir Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 17
18 Summary CloudSat CPR data provides and exciting new view of the vertical distribution of cloud This 3-D view can be used to calculate CFLS at varying vertical levels and view angles CPR-derived CFLS can be used to validate CFLS derived by apriori cloud thickness methods or for model cloud fraction initialization PCFLS Viewer Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 18
19 Visit the CloudSat Data Processing Center Website rder Data News Quicklook Images Set up Account Sep 29th, th Conf. on Satellite Meteorology - Annapolis MD 19
Probability of Cloud-Free-Line-of-Sight (PCFLOS) Derived From CloudSat and CALIPSO Cloud Observations
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