1. Airborne/ground-based sensor intercomparison: SRL/LASE Paolo Di Girolamo, Domenico Sabatino, David Whiteman, Belay Demoz, Edward Browell, Richard Ferrare IHOP_2002 Water Vapor Intercomparison Workshop, 2-3 October 2003, NCAR, Boulder, CO

2. SRL operated for approximately 35 days during IHOP Most of the measurements were carried out in vertically pointing mode Present availability of analyzed data: 11 days 29 May 2002, 30 May 2002, 31 May 2002, 3June 2002, 4June 2002, 9June 2002, 10June 2002, 12June 2002, 14June 2002, 19June 2002, 20 June 2002 both daytime and night-time cases. Water vapor data have been processed using a single, height independent calibration constant determined from 20 nighttime datasets of SRL water vapor and SuomiNet GPS measurements of total precipitable water both taken at Greenbelt, MD in the September November, 2002 period for Aqua validation purposes. IHOP_2002 Water Vapor Intercomparison Workshop, 2-3 October 2003, NCAR, Boulder, CO NASA Scanning Raman Lidar, SRL

3. Time resolution: 1 minute intervals Vertical resolution: 0-1 km : 60m, 1-2 km : 100m, 2-3 km : 150m, 3-4 km : 200m, >4 km : 300m Vertical extent (for the present data release): 0-6 km. IHOP_2002 Water Vapor Intercomparison Workshop, 2-3 October 2003, NCAR, Boulder, CO

4. Statistical error associated with the Raman lidar signals and Measurement uncertainty Systematic error associated with the determination of the calibration constant K(z). Random error is a function time of day, altitude and amount of water vapour. During IHOP: day <10% in BL night <2% in BL, <10% to 6km Water vapor data have been processed using a single, height independent calibration constant determined from 20 nighttime datasets of SRL water vapor and SuomiNet GPS measurements of total precipitable water both taken at Greenbelt, MD in the September November, 2002 period for Aqua validation purposes.

5. Vertical data interval: 30 m Horizontal interval: 6 sec or 1.4 km Vertical resolution: 330 m Horizontal resolution: 1 min or 14 km LASE measurement accuracy: better than 6 % or 0.01 g/kg, across the troposphere Water vapor mixing ratio: calculated using molecular density profiles derived from the Homestead radiosondes. NASA LASE

6. Comparison between SRL and LASE Comparison between SRL and LASE data are possible on 30 May, 3 June, 9 June and 14 June. 24 comparisons available Date: May 30, 2002 time[UTC] distance[km] 18:28:03 4.9 18:28:05 4.7 19:44:40 0.4 20:34:59 1.7 21:49:10 0.4 -------------------------- Date: June 03, 2002 time[UTC] distance[km] 19:29:44 0.7 20:30:09 0.1 21:32:17 0.3 -------------------------- Date: June 09, 2002 time[UTC] distance[km] 18:06:50 0.3 19:17:00 0.2 20:31:03 0.2 -------------------------- Date: June 14, 2002 time[UTC] distance[km] 14:03:23 0.9 14:03:27 1.1 14:44:21 0.6 15:14:04 0.7 15:14:06 0.7 15:56:46 0.5 16:27:12 0.9 16:27:14 0.9 17:10:34 2.6 17:10:36 2.8 17:38:42 0.9 18:19:36 0.4 18:49:11 0.9 Comparisons are based on 10 minute data averaging for SRL and 1 minute data averaging for LASE. Based on 10 minute data averaging, 10 % random uncertainty for SRL is reached between 2.8-4.3 km. In order to compute deviations, SRL data have been interpolated at LASE heights. IHOP_2002 Water Vapor Intercomparison Workshop, 2-3 October 2003, NCAR, Boulder, CO

7. Agreement is very good when distance between LASE footprint and SRL does not exceed 2.5 km. Average RMS deviation: 2.2 % in the height interval 1.3-3.8 km Average BIAS: 0.3 % in the height interval 1.3-3.8 km IHOP_2002 Water Vapor Intercomparison Workshop, 2-3 October 2003, NCAR, Boulder, CO Distance between LASE footprint and SRL = 0.9 km statistical error gets lower than 10 % around 5 km Sun zenith angle=30-40 deg Background signal is 50 % smaller than Sun at zenith When distances are larger than 2.5 km, differences in air masses properties are appreciable  deviations between LASE and SRL are larger.

12. RMS deviations and BIAS Total RMS deviations and BIAS in the altitude region 1.3-2.8 km and 1.3-3.8 km, together with contributions from different height intervals: 1.3-1.8 km, 1.8-2.3 km, 2.3-2.8 km, 2.8-3.3 km, 3.3-3.8 km Error exceeding 100 % have been excluded from the average

13. RMS deviations and BIAS between SRL and mean value IHOP_2002 Water Vapor Intercomparison Workshop, 2-3 October 2003, NCAR, Boulder, CO expected to be the best estimate of truth (g/kg)

14. RMS deviations and BIAS between LASE and mean value IHOP_2002 Water Vapor Intercomparison Workshop, 2-3 October 2003, NCAR, Boulder, CO expected to be the best estimate of truth (g/kg)

15. RMS deviations and BIAS between the sensors IHOP_2002 Water Vapor Intercomparison Workshop, 2-3 October 2003, NCAR, Boulder, CO

16. DateTime1.3-3.8 km1.3-3.3 km1.3-2.8 km1.3-1.8 km1.8-2.3 km2.3-2.8 km2.8-3.3 km3.3-3.8 km 30 May18.28.03131.147216.89764626.59338319.22534046.61038892.53118447.9123896285.95783 30 May18.28.05125.360836.52046656.69987189.31357386.7661992.62450256.1810038273.34758 30 May19.44.409.20709412.50846391.66012191.2842312.05329451.47416144.00867319.499176 30 May20.34.5914.46648915.4253592.57006041.36206042.98315462.885149229.62294710.068457 30 May21.49.1012.9328439.06189021.57792140.67228741.39967713.162692417.75856522.085914 03 June19.29.4012.2724176.47444554.93430261.06246891.2136438.64741679.255788723.660353 03 June19.29.4611.4082024.61861153.63561171.39163360.54507936.34104116.371357123.233714 03 June20.30.095.71340435.63303564.95282081.28978093.18356088.16262766.62627316.0063318 03 June21.32.159.07735595.62231483.01504861.69741514.1370442.38948879.983450816.540863 09 June18.06.503.32023983.07693373.04483821.02689484.48411862.86473663.26095774.1089719 09 June19.17.0311.5508674.53763963.24194442.53378331.84019594.67206247.112502123.626323 09 June20.31.0318.02689119.75603911.726145.77529476.743203319.43061133.031618.8888603 14 June14.03.232.24467072.28390632.52456481.68639483.18834512.28374061.42623532.0903656 14 June14.03.272.59638642.63405032.9635272.18948483.72511132.56330961.35400242.4494038 14 June14.44.213.82955223.65656054.1422875.54214484.52258071.29987261.75454364.4205088 14 June15.14.043.62427312.59992392.91083464.56430371.92348111.67544691.37698036.0941104 14 June15.14.063.62427312.59992392.91083464.56430371.92348111.67544691.37698036.0941104 14 June15.56.464.22287544.23248064.83757327.5942883.5626522.24218141.537584.1865168 14 June16.27.133.30426893.29583343.79078553.52627324.67158052.81515220.98068853.3358348 14 June17.10.315.01054524.86750115.60942147.69004845.54849932.78112941.44826465.5158934 14 June17.10.375.18108925.23342186.05575248.68959566.05849951.67879441.22080934.9791414 14 June17.38.423.61415473.76409413.92244482.84486565.80048431.50316443.38272422.9828271 14 June18.19.363.97252293.46280763.66638034.09411083.81502122.97593942.90238815.4816787 14 June18.49.113.28730583.2039783.59113431.3541584.06726374.19736491.77815543.583675 Average17.041495.49863864.19073353.7906143.781943.8698846.736036232.009935

17. DateTime1.3-3.8 km1.3-3.3 km1.3-2.8 km1.3-1.8 km1.8-2.3 km2.3-2.8 km2.8-3.3 km3.3-3.8 km 30 May18.28.0329.723362-1.995153-2.4861114-6.763914-1.013169-0.303075-0.663677149.1342 30 May18.28.0527.02023-2.00738-2.4639209-7.081429-2.0356271.0653519-0.802353136.3006 30 May19.44.40-2.3974790.117175-0.77642280.5473355-1.701719-0.9515842.5877101-11.8644 30 May20.34.59-5.636024-8.590474-1.70775190.5255926-2.886317-2.409703-27.619185.486611 30 May21.49.10-7.421792-4.322209-0.04249860.2787690.2000829-1.113372-16.56239-19.0908 03 June19.29.40-0.8047394.04944822.8536294-0.699381.14531588.08194287.0057877-19.0793 03 June19.29.46-2.0677782.35143071.7686522-0.9407310.3808255.85547613.6027922-18.7048 03 June20.30.09-1.44824-1.4100480.03274841.2364612.8523947-4.559033-4.908792-1.59202 03 June21.32.154.88145861.80568241.0748011.60373233.7122431-2.1232664.131175416.46085 09 June18.06.502.72875732.47542532.54541470.78989083.9602322.43849692.41189723.682478 09 June19.17.03-0.971014-0.0298690.5937654-2.3085720.96946042.7964339-2.100737-4.51415 09 June20.31.03-3.350091-5.6306342.791185.64917485.5650201-4.41498-28.687485.235481 14 June14.03.230.22976710.04926180.1697406-0.340267-1.2740552.1011774-0.3840370.909316 14 June14.03.270.1471389-0.054170.13981390.0343207-1.8493012.2894258-0.7143430.905008 14 June14.44.21-0.943498-1.18086-1.1263514-0.035823-2.032751-1.049433-1.417275-0.0499 14 June15.14.04-0.739809-0.242898-0.7020107-1.790937-1.2304260.882820.9648111-2.61054 14 June15.14.06-0.739809-0.242898-0.7020107-1.790937-1.2304260.882820.9648111-2.61054 14 June15.56.46-0.6-0.316627-0.00792335.1955718-3.153224-1.321522-1.058214-1.66682 14 June16.27.13-0.700723-0.18077-0.12582772.7235201-4.4253531.9582548-0.484866-2.65819 14 June17.10.312.30955462.21005963.17789917.02534251.27968311.6048105-0.3717112.684124 14 June17.10.372.35816272.45215013.47804818.05591822.60685910.2374285-0.2623842.004328 14 June17.38.421.53665711.29981050.62587510.55213521.571724-0.2516223.31351532.428315 14 June18.19.36-0.1039271.03940030.57103383.89273770.9148459-2.5962642.5379628-4.40822 14 June18.49.110.52378910.2006624-0.25372851.30483850.0209774-1.7660481.5150541.740266 Average1.8139147-0.3397280.39283520.7359730.0978040.3056057-2.375089.921748

18. DateTime1.3-3.8 km1.3-3.3 km1.3-2.8 km1.3-1.8 km1.8-2.3 km2.3-2.8 km2.8-3.3 km3.3-3.8 km 30 May18.28.0324.018386.30115915.5020087.34535755.7677062.44887348.360086950.982346 30 May18.28.0521.6499995.58796055.52407967.38875455.6256042.78586265.938033945.997507 30 May19.44.406.02343952.68004211.59722821.31442761.94176641.40573914.47071912.076081 30 May20.34.5910.3527939.40451572.41026761.38946712.80181162.652359117.80190513.330928 30 May21.49.108.79230356.56426371.49035440.67742781.41654432.754794712.71854814.356677 03 June19.29.409.94680928.34958646.10806781.04247051.24797810.89340712.25453814.455331 03 June19.29.468.15846895.48295514.22784041.35269170.5513857.49473747.658023614.281602 03 June20.30.094.94712484.88659744.43649821.32808813.47305416.88104785.55408755.1686395 03 June21.32.1513.8182178.71670723.21918691.76467114.59221132.249550216.53529424.974822 09 June18.06.503.64923253.35508573.31412031.06070624.91230293.09344023.57212844.5905679 09 June19.17.037.90175814.66785253.52202132.39201831.99800655.22366097.047253314.678864 09 June20.31.0313.2070213.23862610.8455916.58170277.995466816.11658718.19961513.087348 14 June14.03.232.21789652.22417622.45752711.59325632.98317032.41153821.390032.1940943 14 June14.03.272.5422282.53566712.85089292.10047393.39151732.73040091.30981562.5667776 14 June14.44.213.49900073.21573413.62175314.90066893.86135831.25561771.68291934.4049635 14 June15.14.043.27205612.38177912.62788953.99104661.79101381.73947341.45979435.4457248 14 June15.14.063.27205612.38177912.62788953.99104661.79101381.73947341.45979435.4457248 14 June15.56.464.66389324.86708765.60038289.35969143.26373422.09194071.4606113.8027638 14 June16.27.133.21995413.26496553.75388223.86588664.24845872.98084990.9719873.0445365 14 June17.10.316.04771425.99625116.93750039.60151336.95622642.99401361.48892786.2376505 14 June17.10.376.46380136.708967.78866211.1064267.97129421.69767331.23768355.4426944 14 June17.38.423.90109674.05794864.22998793.03079646.30875921.46211393.64292713.2432588 14 June18.19.363.84198533.55768913.72840484.51079213.77040672.7400943.12136694.7624215 14 June18.49.113.14865842.91755663.22564211.39631183.72558363.6465321.8619423.8976714 Average7.43982865.13937274.23531993.87857053.84943223.81207425.883251411.602875

19. DateTime1.3-3.8 km1.3-3.3 km1.3-2.8 km1.3-1.8 km1.8-2.3 km2.3-2.8 km2.8-3.3 km3.3-3.8 km 30 May18.28.033.45165181.14351161.76496785.41010230.25796720.1793714-0.62446512.141121 30 May18.28.055.64406721.28606561.72787655.70655771.2789436-1.2114020.079260822.050662 30 May19.44.401.3095943-0.2512340.723423-0.5810881.62198820.9101451-2.9458747.1856535 30 May20.34.592.80392315.71195811.5839464-0.563432.71916472.256731517.124697-8.143973 30 May21.49.105.15759963.1360758-0.0044368-0.287876-0.2397170.93933612.0528512.768042 03 June19.29.40-1.474045-5.128057-3.45511480.677231-1.175607-9.962672-9.27038312.282237 03 June19.29.460.2842914-2.856839-2.07559510.9030882-0.386836-6.805053-4.57617712.109724 03 June20.30.090.88698230.8631643-0.4680711-1.270719-3.0734493.44167034.1733010.9766501 03 June21.32.15-7.376881-2.771704-1.2684603-1.663638-4.0921042.0157774-7.425034-24.71402 09 June18.06.50-2.970991-2.681843-2.747196-0.811674-4.322993-2.615711-2.644786-4.059546 09 June19.17.03-0.61978-0.385523-0.82133422.1873622-1.029994-3.2835591.1271158-1.501687 09 June20.31.03-1.024650.7064777-5.17958-6.409241-6.451872-1.43029916.808803-7.541839 14 June14.03.23-0.329075-0.150603-0.29348330.28658821.0841841-2.2113160.3444011-1.000969 14 June14.03.27-0.278685-0.078962-0.3081803-0.1260831.5970077-2.4293890.6788786-1.03058 14 June14.44.210.67726010.94681350.8277526-0.5033011.68383711.01679091.3582257-0.337529 14 June15.14.040.50376240.11948310.54943391.42707481.1615546-0.941089-1.0050021.9504606 14 June15.14.060.50376240.11948310.54943391.42707481.1615546-0.941089-1.0050021.9504606 14 June15.56.460.2105922-0.091802-0.5294256-6.6151632.92073921.22773721.01330331.3490177 14 June16.27.130.4887253-0.033604-0.157633-2.9961024.0284366-2.1259730.46580742.4551401 14 June17.10.31-2.912784-2.791277-3.9530901-8.498582-2.047578-1.7712280.3286332-3.370221 14 June17.10.37-3.024307-3.151777-4.4182416-9.980935-3.57008-0.2943740.2321942-2.544421 14 June17.38.42-1.817461-1.603822-0.9557057-0.724276-2.29860.207695-3.559959-2.621751 14 June18.19.36-0.19942-1.284725-0.8430625-4.262018-1.2008182.4332824-2.719133.8864343 14 June18.49.11-0.729337-0.3867550.0229855-1.342654-0.3225481.4604944-1.581267-2.019059 Average-0.0348-0.400646-0.8220329-1.192154-0.445701-0.8305880.7679331.3425003

20. RMS deviations and BIAS between the sensors

21. DateTime1.3-3.8 km1.3-3.3 km1.3-2.8 km1.3-1.8 km1.8-2.3 km2.3-2.8 km2.8-3.3 km3.3-3.8 km 30 May18.28.03262.2944313.79529213.18676618.45068113.2207785.062368815.824779571.91566 30 May18.28.05250.7216613.04093313.39974418.62714813.5323985.24900512.362008546.69515 30 May19.44.4018.4141885.01692783.32024392.56846194.10658893.06911538.184108138.998353 30 May20.34.5928.93297830.8507175.14012082.72412085.96630926.909354960.92642520.136914 30 May21.49.1025.86568518.123783.15584281.34457482.79935436.325384835.51712944.171828 03 June19.29.4024.54483412.9488919.86860532.12493782.42728617.29483318.51157747.320706 03 June19.29.4622.8164059.2372237.27122342.78326721.090158512.68208212.74271446.467428 03 June20.30.0911.42680911.2660719.90564162.57956186.367121716.32525513.25254612.012664 03 June21.32.1518.15471211.244636.03009713.39483028.27408814.778977419.96690233.081726 09 June18.06.506.64047976.15386746.08967652.05378958.13854275.72947326.52191548.2179438 09 June19.17.0323.1017349.07527936.48388885.06756663.33990119.344124714.22500447.252646 09 June20.31.0336.05378139.51207923.4522811.55058912.23871538.86122266.0632217.777721 14 June14.03.234.48934154.56781275.04912963.37278976.37669014.56748122.85247074.1807312 14 June14.03.275.19277275.26810065.9270544.37896977.45022255.12661932.70800494.8988077 14 June14.44.217.65910457.3131218.28457411.084299.04516152.59974523.50908738.8410176 14 June15.14.047.24854615.19984785.82166929.12860743.84696233.35089382.753960612.188221 14 June15.14.067.24854615.19984785.82166929.12860743.84696233.35089382.753960612.188221 14 June15.56.468.44575088.46496139.675146415.1885767.12530394.48436293.075168.3730336 14 June16.27.136.60853786.59166677.5815717.05254649.3431615.63030441.9613776.6716697 14 June17.10.3110.021099.735002211.21884315.38009711.0969995.56225882.896529211.031787 14 June17.10.3710.36217810.46684412.11150517.37919112.1169993.35758872.44161879.9582828 14 June17.38.427.22830947.52818827.84488955.689731211.6009693.00632876.76544845.9656543 14 June18.19.367.94504576.92561537.33276068.18822167.63004255.95187885.804776110.963357 14 June18.49.116.57461176.4079567.18226862.70831618.13452758.39472983.55631077.16735 Average34.0829810.9972778.38146717.5812287.4631357.792261713.54904364.01987

22. DateTime1.3-3.8 km1.3-3.3 km1.3-2.8 km1.3-1.8 km1.8-2.3 km2.3-2.8 km2.8-3.3 km3.3-3.8 km 30 May18.28.0359.446723-3.990305-4.9722228-13.52783-2.026338-0.606149-1.327354298.26848 30 May18.28.0554.04046-4.01476-4.9278417-14.16286-4.0712542.1307037-1.604706272.60129 30 May19.44.40-4.7949570.23435-1.55284561.094671-3.403438-1.9031685.1754203-23.72882 30 May20.34.59-11.27205-17.18095-3.41550391.0511852-5.772633-4.819407-55.2383510.973221 30 May21.49.10-14.84358-8.644418-0.08499710.55753810.4001658-2.226745-33.12478-38.18162 03 June19.29.40-1.6094788.09889645.7072589-1.3987592.290631716.16388614.011575-38.15865 03 June19.29.46-4.1355574.70286133.5373044-1.8814610.7616511.7109527.2055844-37.4096 03 June20.30.09-2.896479-2.8200960.06549682.4729225.7047893-9.118067-9.817584-3.184039 03 June21.32.159.76291733.61136482.1496023.20746467.4244862-4.2465318.262350832.921703 09 June18.06.505.45751464.95085065.09082941.57978167.92046414.87699384.82379447.3649557 09 June19.17.03-1.942028-0.0597371.1875309-4.6171431.93892085.5928678-4.201474-9.0283 09 June20.31.03-6.700182-11.261275.5823611.2983511.13004-8.82996-57.3749610.470962 14 June14.03.230.45953420.09852370.3394813-0.680534-2.548114.2023548-0.7680731.8186326 14 June14.03.270.2942778-0.108340.27962780.0686413-3.6986034.5788517-1.4286861.8100157 14 June14.44.21-1.886997-2.36172-2.2527027-0.071645-4.065501-2.098865-2.83455-0.099805 14 June15.14.04-1.479618-0.485795-1.4040214-3.581874-2.4608521.765641.9296222-5.221071 14 June15.14.06-1.479618-0.485795-1.4040214-3.581874-2.4608521.765641.9296222-5.221071 14 June15.56.46-1.2-0.633253-0.015846710.391144-6.306449-2.643044-2.116428-3.333635 14 June16.27.13-1.401446-0.361539-0.25165555.4470403-8.8507073.9165096-0.969732-5.316387 14 June17.10.314.61910914.42011926.355798114.0506852.55936633.2096211-0.7434215.3682475 14 June17.10.374.71632544.90430036.956096216.1118365.21371830.474857-0.5247674.0086552 14 June17.38.423.07331422.5996211.25175031.10427043.143448-0.5032446.62703074.8566297 14 June18.19.36-0.2078542.07880071.14206757.78547551.8296918-5.1925295.0759256-8.816438 14 June18.49.111.04757820.4013248-0.50745712.60967690.0419548-3.5320973.0301083.480532 Average3.627829-0.6794570.78567031.4719460.19560790.6112113-4.7501619.843495

23. Average (over 24 comparisons) RMS deviation and BIAS Between SRL and mean Average RMS deviation < 4.19 % 1.3 < z < 2.8 km, Average BIAS < 0.34 % 1.3 < z < 3.3 km Between LASE and mean Error exceeding 100 % have been excluded from the average. Average RMS deviation < 4.23 % 1.3 < z < 2.8 km, Average BIAS < 0.4 % 1.3 < z < 3.3 km Between SRL and LASE Error exceeding 100 % have been excluded from the average. Average RMS deviation < 8.4 % 1.3 < z < 2.8 km, Average BIAS < 0.68 % 1.3 < z < 3.3 km AVERAGE RMS Deviation ( in the height region 1.3-2.8 km ) between SRL/LASE and the mean value does not exceed 4.2 % AVERAGE BIAS (height region 1.3-3.3 km) between SRL/LASE and the mean value does not exceed 0.4 %