Aerosol Aerosol AERONETd AERONETd AERONETd, A globally distributed network of spectral aerosol optical depth (AOD), inversion products, and precipitable water in diverse aerosol regimes, continuously, over long term. http://aeronet.gsfc.nasa.gov/new_web/data.html http://aeronet.gsfc.nasa.gov/new_web/data_usage.html http://datafed.net/Datasets/Icons/AERONETdIcon50.gif http://webapps.datafed.net/icon.wsfl?width=100&height=100&draw=text&value=AERO NET&font_size=10 NASA NASA Atmospheric Data Center http://www.nasa.gov/ http://www.datafed.net/icons/NASAIcon50.gif Network Monitoring Network Point Point Sample param_abbr,param_code,param_name,param_unit,scale_min,scale_max,vertical,geoss "AOT_1640","AOT_1640","AOT_1640","unknown",0,1,"Surface","true" param_abbr,param_code,param_name,param_unit,scale_min,scale_max,vertical,geoss "AOT_1640","AOT_1640","AOT_1640","unknown",0,1,"Surface","true" "AOT_1020","AOT_1020","AOT_1020","unknown",0,1,"Surface","true" "AOT_870","AOT_870","AOT_870","unknown",0,1,"Surface","true" "AOT_675","AOT_675","AOT_675","unknown",0,1,"Surface","true" "AOT_667","AOT_667","AOT_667","unknown",0,1,"Surface","true" "AOT_555","AOT_555","AOT_555","unknown",0,1,"Surface","true" "AOT_551","AOT_551","AOT_551","unknown",0,1,"Surface","true" "AOT_532","AOT_532","AOT_532","unknown",0,1,"Surface","true" "AOT_531","AOT_531","AOT_531","unknown",0,1,"Surface","true" "AOT_500","AOT_500","AOT_500","unknown",0,1,"Surface","true" "AOT_490","AOT_490","AOT_490","unknown",0,1,"Surface","true" "AOT_443","AOT_443","AOT_443","unknown",0,1,"Surface","true" "AOT_440","AOT_440","AOT_440","unknown",0,1,"Surface","true" "AOT_412","AOT_412","AOT_412","unknown",0,1,"Surface","true" "AOT_380","AOT_380","AOT_380","unknown",0,1,"Surface","true" "AOT_340","AOT_340","AOT_340","unknown",0,1,"Surface","true" "Water","Water(cm)","Water","cm",0,1,"Surface","true" "TripletVar_1640","%TripletVar_1640","TripletVar_1640","unknown",0,1,"Surface","true" "TripletVar_1020","%TripletVar_1020","TripletVar_1020","unknown",0,1,"Surface","true" "TripletVar_870","%TripletVar_870","TripletVar_870","unknown",0,1,"Surface","true" "TripletVar_675","%TripletVar_675","TripletVar_675","unknown",0,1,"Surface","true" "TripletVar_667","%TripletVar_667","TripletVar_667","unknown",0,1,"Surface","true" "TripletVar_555","%TripletVar_555","TripletVar_555","unknown",0,1,"Surface","true" "TripletVar_551","%TripletVar_551","TripletVar_551","unknown",0,1,"Surface","true" "TripletVar_532","%TripletVar_532","TripletVar_532","unknown",0,1,"Surface","true" "TripletVar_531","%TripletVar_531","TripletVar_531","unknown",0,1,"Surface","true" "TripletVar_500","%TripletVar_500","TripletVar_500","unknown",0,1,"Surface","true" "TripletVar_490","%TripletVar_490","TripletVar_490","unknown",0,1,"Surface","true" "TripletVar_443","%TripletVar_443","TripletVar_443","unknown",0,1,"Surface","true" "TripletVar_440","%TripletVar_440","TripletVar_440","unknown",0,1,"Surface","true" "TripletVar_412","%TripletVar_412","TripletVar_412","unknown",0,1,"Surface","true" "TripletVar_380","%TripletVar_380","TripletVar_380","unknown",0,1,"Surface","true" "TripletVar_340","%TripletVar_340","TripletVar_340","unknown",0,1,"Surface","true" "WaterError","%WaterError","WaterError","unknown",0,1,"Surface","true" "440-870Angstrom","440-870Angstrom","440-870Angstrom","unknown",0,1,"Surface","true" "380-500Angstrom","380-500Angstrom","380-500Angstrom","unknown",0,1,"Surface","true" "440-675Angstrom","440-675Angstrom","440-675Angstrom","unknown",0,1,"Surface","true" "500-870Angstrom","500-870Angstrom","500-870Angstrom","unknown",0,1,"Surface","true" "340-440Angstrom","340-440Angstrom","340-440Angstrom","unknown",0,1,"Surface","true" "N_AOT_1640","N AOT_1640","N AOT_1640","unknown",0,1,"Surface","true" "N_AOT_1020","N AOT_1020","N AOT_1020","unknown",0,1,"Surface","true" "N_AOT_870","N AOT_870","N AOT_870","unknown",0,1,"Surface","true" "N_AOT_675","N AOT_675","N AOT_675","unknown",0,1,"Surface","true" "N_AOT_667","N AOT_667","N AOT_667","unknown",0,1,"Surface","true" "N_AOT_555","N AOT_555","N AOT_555","unknown",0,1,"Surface","true" "N_AOT_551","N AOT_551","N AOT_551","unknown",0,1,"Surface","true" "N_AOT_532","N AOT_532","N AOT_532","unknown",0,1,"Surface","true" "N_AOT_531","N AOT_531","N AOT_531","unknown",0,1,"Surface","true" "N_AOT_500","N AOT_500","N AOT_500","unknown",0,1,"Surface","true" "N_AOT_490","N AOT_490","N AOT_490","unknown",0,1,"Surface","true" "N_AOT_443","N AOT_443","N AOT_443","unknown",0,1,"Surface","true" "N_AOT_440","N AOT_440","N AOT_440","unknown",0,1,"Surface","true" "N_AOT_412","N AOT_412","N AOT_412","unknown",0,1,"Surface","true" "N_AOT_380","N AOT_380","N AOT_380","unknown",0,1,"Surface","true" "N_AOT_340","N AOT_340","N AOT_340","unknown",0,1,"Surface","true" "N_Water","N Water(cm)","N Water","cm",0,1,"Surface","true" "N_440-870Angstrom","N 440-870Angstrom","N 440-870Angstrom","unknown",0,1,"Surface","true" "N_380-500Angstrom","N 380-500Angstrom","N 380-500Angstrom","unknown",0,1,"Surface","true" "N_440-675Angstrom","N 440-675Angstrom","N 440-675Angstrom","unknown",0,1,"Surface","true" "N_500-870Angstrom","N 500-870Angstrom","N 500-870Angstrom","unknown",0,1,"Surface","true" "N_340-440Angstrom","N 340-440Angstrom","N 340-440Angstrom","unknown",0,1,"Surface","true" "N_440-675Angstrom_polar","N 440-675Angstrom(Polar)","N 440-675Angstrom(Polar)","unknown",0,100,"Surface","true" loc_code,lat,lon Abracos_Hill, -10.76, -62.358 loc_code,lat,lon Abracos_Hill, -10.76, -62.358 Abu_Al_Bukhoosh, 25.495, 53.146 Abu_Dhabi, 24.476, 54.329 Agoufou, 15.345, -1.479 Aguas_Emendadas, -15.582, -47.656 Ahi_De_Cara, 37.117, -3.23 Aire_Adour, 43.7, 0.25 Al_Dhafra, 24.254, 54.55 Al_Khaznah, 24.159, 55.101 Al_Qlaa, 24.133, 53.033 Albany_Oregon, 44.583, -123.067 Alta_Floresta, -9.917, -56.017 Ames, 42.021, -93.775 Amsterdam_Island, -37.81, 77.573 Andenes, 69.278, 16.009 Andros_Island, 24.7, -77.8 Angiola, 35.947, -119.538 Anmyon, 36.539, 126.33 Arica, -18.472, -70.313 Ariquiums, -9.917, -63.033 Armilla, 37.133, -3.242 Ascension_Island, -7.976, -14.415 Avignon, 43.933, 4.878 Azores, 38.53, -28.63 Bac_Giang, 21.29, 106.23 Bac_Lieu, 9.28, 105.73 BackGarden_GZ, 23.296, 113.021 BAHRAIN, 26.208, 50.609 Balbina, -1.917, -59.487 Banizoumbou, 13.541, 2.665 Barbados, 13.167, -59.5 Barcelona, 41.386, 2.117 Barrow, 71.312, -156.665 Beijing, 39.977, 116.381 Belsk, 51.837, 20.792 Belterra, -2.648, -54.952 Bermuda, 32.37, -64.696 Bethlehem, -28.248, 28.333 Biarritz, 43.483, -1.55 Bidi_Bahn, 14.06, -2.45 Big_Meadows, 38.522, -78.436 Billerica, 42.528, -71.269 Blida, 36.508, 2.881 Bodele, 16.883, 18.55 Bonanza_Creek, 64.743, -148.316 Bondoukoui, 11.85, -3.75 BONDVILLE, 40.053, -88.372 BORDEAUX, 44.788, -0.579 Bordman, 45.817, -119.667 Boulder, 40.017, -105.25 Bragansa, -0.834, -46.641 Brasilia, -15.917, -47.9 Bratts_Lake, 50.28, -104.7 Brookhaven, 40.87, -72.889 BSRN_BAO_Boulder, 40.045, -105.006 Bucarest, 44.45, 26.525 Burtonsville, 39.104, -76.938 Cabauw, 51.971, 4.927 Cabo_da_Roca, 38.783, -9.5 Cairo_University, 30.026, 31.207 Campo_Grande, -20.45, -54.617 Campo_Grande_SONDA, -20.438, -54.538 Canberra, -35.271, 149.111 CANDLE_LAKE, 53.733, -105.267 Cape_San_Juan, 18.384, -65.62 Capo_Verde, 16.733, -22.935 Carlsbad, 32.369, -104.233 Carpentras, 44.083, 5.058 Cart_Site, 36.607, -97.486 CARTEL, 45.379, -71.931 Cartel_X, 45.379, -71.931 CCNY, 40.821, -73.949 CEILAP-BA, -34.567, -58.5 Chao_Jou, 22.513, 120.529 Chebogue_Point, 43.747, -66.123 Chen-Kung_Univ, 23.0, 120.217 Chequamegon, 45.933, -90.25 Cheritan, 37.289, -75.972 Chilbolton, 51.144, -1.437 China_Lake, 35.674, -117.745 Chinhae, 35.156, 128.652 Chulalongkorn, 13.736, 100.53 Churchill, 58.736, -93.818 City_GZ, 23.081, 113.158 Clermont_Ferrand, 45.76, 2.962 Coconut_Island, 21.433, -157.79 Coleambally, -34.81, 146.064 Columbia_SC, 34.023, -81.036 Concepcion, -16.138, -62.028 Corcoran, 36.103, -119.566 Cordoba-CETT, -31.524, -64.464 COVE, 36.9, -75.71 COVE_SEAPRISM, 36.9, -75.71 Creteil, 48.788, 2.443 Crozet_Island, -46.435, 51.85 CRYSTAL_FACE, 25.65, -80.422 Cuiaba, -15.5, -56.0 CUIABA-MIRANDA, -15.729, -56.021 Dahkla, 23.717, -15.95 Dakar, 14.394, -16.959 Dalanzadgad, 43.577, 104.419 Dalma, 24.502, 52.332 Darwin, -12.424, 130.892 Dead_Sea, 31.1, 35.45 Dhabi, 24.481, 54.383 Dhadnah, 25.513, 56.325 Dharwar, 15.429, 74.989 Djougou, 9.76, 1.599 Dongsha_Island, 20.709, 116.724 Dry_Tortugas, 24.628, -82.872 Dunhuang, 40.038, 94.794 Dunkerque, 51.035, 2.368 Egbert, 44.226, -79.75 Egbert_X, 44.226, -79.75 El_Arenosillo, 37.105, -6.733 El_Refugio, -14.766, -62.035 EOPACE1, 36.182, -75.751 EOPACE2, 36.184, -75.745 Epanomi, 40.375, 22.978 ETNA, 37.614, 15.019 Etosha_Pan, -19.175, 15.914 Evora, 38.568, -7.912 FLIN_FLON, 54.67, -101.69 Fontainebleau, 48.407, 2.68 Fort_McMurray, 56.752, -111.476 FORTH_CRETE, 35.333, 25.282 Fresno, 36.782, -119.773 Fresno_X, 36.782, -119.773 Gaithersburg, 39.133, -77.208 Gerlitzen, 46.678, 13.907 GISS, 40.798, -73.96 GOA_INDIA, 15.453, 73.806 Gosan_SNU, 33.292, 126.162 Gotland, 57.917, 18.95 Granada, 37.164, -3.605 GSFC, 38.992, -76.84 Guadeloup, 16.333, -61.5 Gustav_Dalen_Tower, 58.594, 17.467 Gwangju_K-JIST, 35.13, 126.5 Hagerstown, 39.708, -77.725 Halifax, 44.638, -63.594 Hamburg, 53.568, 9.973 Hamim, 22.967, 54.3 Hampton_Roads, 36.783, -76.45 Harvard_Forest, 42.532, -72.188 Helgoland, 54.178, 7.887 Hermosillo, 29.075, -110.96 HJAndrews, 44.239, -122.224 Hog_Island, 37.42, -75.7 Hong_Kong_PolyU, 22.303, 114.18 Hornsund, 77.0, 15.55 Howland, 45.2, -68.733 Hua_Hin, 12.634, 99.951 IER_Cinzana, 13.278, -5.934 IFT-Leipzig, 51.352, 12.435 IHOP-Homestead, 36.558, -100.606 Ilorin, 8.32, 4.34 IMAA_Potenza, 40.6, 15.72 IMC_Oristano, 39.91, 8.5 IMS-METU-ERDEMLI, 36.565, 34.255 Inhaca, -26.041, 32.905 Inner_Mongolia, 42.683, 115.954 Irkutsk, 51.8, 103.087 ISDGM_CNR, 45.437, 12.332 Ispra, 45.803, 8.627 Izana, 28.3, -16.5 Jabal_Hafeet, 24.058, 55.776 Jabiru, -12.661, 132.893 Jamari, -8.633, -62.75 Jaru_Reserve, -10.083, -61.933 Ji_Parana, -10.86, -61.8 Ji_Parana_UNIR, -10.883, -61.967 Joberg, -26.186, 28.029 JonesERC, 31.231, -84.471 Jornada, 32.351, -106.517 Jug_Bay, 38.767, -76.778 Kaashidhoo, 4.965, 73.466 Kaloma, -14.86, 24.828 Kanpur, 26.45, 80.346 Kaoma, -14.793, 24.795 Karlsruhe, 49.093, 8.428 Kasama, -10.167, 31.183 Katibougou, 12.917, -7.532 Kejimkujik, 44.383, -65.283 Kellogg_LTER, 42.408, -85.372 Kelowna, 49.955, -119.373 Key_Biscayne, 25.732, -80.163 Kolfield, 39.802, -74.476 Kolimbari, 35.533, 23.783 KONZA_EDC, 39.102, -96.61 Krasnoyarsk, 55.983, 92.767 Kuujjuarapik, 55.3, -77.8 La_Crau, 43.577, 4.819 La_Jolla, 32.87, -117.25 La_Parguera, 17.97, -67.045 Laegeren, 47.48, 8.351 Lake_Argyle, -16.108, 128.749 Lampedusa, 35.517, 12.632 Lanai, 20.735, -156.922 Lecce_University, 40.335, 18.111 Liangning, 41.512, 122.701 Lille, 50.612, 3.142 Lochiel, 49.028, -122.602 Longyearbyen, 78.223, 15.649 Los_Alamos, 35.874, -106.326 Los_Fieros, -14.55, -60.617 LOS_FIEROS_98, -14.556, -60.929 Lunar_Lake, 38.39, -115.988 LW-SCAN, 34.96, -97.979 MAARCO, 24.7, 54.659 Mace_Head, 53.33, -9.9 Madison, 43.07, -89.41 Mainz, 49.999, 8.3 MALE, 4.192, 73.529 Maricopa, 33.069, -111.972 Marseille, 43.282, 5.384 Maun_Tower, -19.9, 23.55 Mauna_Loa, 19.539, -155.578 MCO-Hanimaadhoo, 6.776, 73.183 MD_Science_Center, 39.283, -76.617 Messina, 38.197, 15.567 Mexico_City, 19.334, -99.182 Mezaira, 23.145, 53.779 Mfuwe, -13.257, 31.931 Midway_Island, 28.21, -177.378 Minsk, 53.92, 27.601 MISR-JPL, 34.25, -118.25 Missoula, 46.917, -114.083 Modena, 44.632, 10.945 Moldova, 47.0, 28.816 Mongu, -15.254, 23.151 Mont_Joli, 48.64, -68.156 Monterey, 36.593, -121.855 Moscow_MSU_MO, 55.7, 37.51 Moss_Landing, 36.793, -121.788 Mukdahan, 16.607, 104.676 Munich_Maisach, 48.209, 11.258 Munich_University, 48.57, 11.57 Mussafa, 24.372, 54.467 MVCO, 41.3, -70.55 Mwinilunga, -11.74, 24.431 NASA_LaRC, 37.105, -76.379 Nauru, -0.521, 166.916 NCU_Taiwan, 24.967, 121.192 Ndola, -12.995, 28.658 Nes_Ziona, 31.922, 34.789 Niabrara, 42.765, -100.02 Nicelli_Airport, 45.426, 12.382 Norfolk_State_Univ, 36.848, -76.259 Noto, 37.334, 137.137 NSA_YJP_BOREAS, 55.903, -98.29 OceolaNF, 30.205, -82.443 OkefenokeeNWR, 30.741, -82.129 Okinawa, 26.357, 127.768 Omkoi, 17.798, 98.432 Oostende, 51.225, 2.925 Osaka, 34.651, 135.591 Ouagadougou, 12.2, -1.4 Owens_Lake, 36.488, -117.871 Oyster, 37.295, -75.933 Paddockwood, 53.5, -105.5 Palaiseau, 48.7, 2.208 Palencia, 41.989, -4.516 Panama_BCI, 9.167, -79.85 Paris, 48.867, 2.333 Penn_State_Univ, 40.742, -78.081 Perth, -32.008, 115.894 Petrolina_SONDA, -9.383, -40.5 Philadelphia, 40.036, -75.005 Pickle_Lake, 51.449, -90.218 Pietersburg, -23.883, 29.45 Pimai, 15.182, 102.564 Pitres, 36.933, -3.222 PKU_PEK, 39.593, 116.184 Porto_Nacional, -11.0, -48.0 Porto_Velho, -8.77, -63.95 Potosi_Mine, -9.283, -62.867 Prospect_Hill, 32.37, -64.696 Quarzazate, 30.939, -6.909 Railroad_Valley, 38.504, -115.962 Rame_Head, 50.366, -4.149 Realtor, 43.486, 5.384 Red_Bluff, 40.15, -122.25 Red_Mountain_Pass, 37.908, -107.725 Resolute_Bay, 74.733, -94.9 Richland, 46.34, -119.28 Rimrock, 46.487, -116.992 Rio_Branco, -9.957, -67.869 Rio_Piedras, 18.402, -66.051 Rochester, 44.234, -77.586 Rogers_Dry_Lake, 34.926, -117.885 Rome_Tor_Vergata, 41.84, 12.647 Roosevelt_Roads, 18.2, -65.6 Rossfeld, 48.335, 7.625 Rottnest_Island, -32.0, 115.502 Saada, 31.626, -8.156 Saih_Salam, 24.829, 55.313 San_Nicolas, 33.257, -119.487 Sandy_Hook, 40.448, -73.993 SANTA_CRUZ, -17.802, -63.178 Santarem, -2.433, -54.75 Santiago, -33.49, -70.717 Sao_Paulo, -23.561, -46.735 Saturn_Island, 48.783, -123.133 SEDE_BOKER, 30.855, 34.782 Senanga, -16.109, 23.293 Seoul_SNU, 37.458, 126.951 SERC, 38.883, -76.5 Sesheke, -17.481, 24.304 Sevilleta, 34.355, -106.885 Shelton, 40.75, -98.76 Shirahama, 33.693, 135.357 Sioux_Falls, 43.736, -96.626 Sioux_Falls_X, 43.736, -96.626 Sir_Bu_Nuair, 25.217, 54.233 Skukuza, -24.992, 31.587 SKUKUZA_AEROPORT, -24.969, 31.593 SMART, 24.249, 55.612 SMART_POL, 24.249, 55.612 SMEX, 41.936, -93.664 SMHI, 58.58, 16.15 Solar_Village, 24.91, 46.41 Solwezi, -12.171, 26.363 Sopot, 54.451, 18.565 Spokane, 47.62, -117.534 SS_OJP_BOREAS, 53.916, -104.69 SSA_YJP_BOREAS, 53.675, -104.65 Stennis, 30.368, -89.617 Sterling, 38.983, -77.467 Sua_Pan, -20.533, 26.067 Surinam, 5.8, -55.2 Swakopmund, -22.658, 14.564 T0_MAX_MEX, 19.49, -99.148 Table_Mountain, 40.125, -105.237 TABLE_MOUNTAIN_CA, 34.38, -117.68 Tahiti, -17.577, -149.606 Taichung, 24.106, 120.491 Taihu, 31.421, 120.215 Taipei_CWB, 25.03, 121.5 Tamihua, 21.261, -97.442 Tampico_MAX_MEX, 22.278, -97.864 Tarbes, 43.25, 0.083 Tenerife, 28.033, -16.633 Tenosique, 17.488, -91.426 THALA, 35.55, 8.683 The_Hague, 52.11, 4.327 Thompson, 55.8, -97.85 Tinga_Tingana, -28.976, 139.991 Tombstone, 31.742, -110.05 Tomsk, 56.477, 85.047 Toravere, 58.255, 26.46 Toronto, 43.97, -79.47 Toulon, 43.136, 6.009 TOULOUSE, 43.562, 1.476 Trinidad_Head, 41.05, -124.15 Tucson, 32.233, -110.953 Tukurui, -3.717, -49.683 Tuxtla_Gutierrez, 16.755, -93.152 Uberlandia, -18.9, -48.283 UCLA, 34.07, -118.45 UCSB, 34.415, -119.845 Ukiah, 45.134, -118.919 Ulaangom, 49.973, 92.078 Umm_Al_Quwain, 25.533, 55.658 USDA, 39.03, -76.88 USDA-BARC, 39.031, -76.932 Ussuriysk, 43.7, 132.163 Venise, 45.314, 12.508 Villefranche, 43.684, 7.329 Vinon, 43.709, 5.759 Walker_Branch, 35.958, -84.287 Wallops, 37.942, -75.475 Waskesiu, 53.917, -106.083 Windsor_B, 42.283, -83.083 Wits_University, -26.337, 28.223 XiangHe, 39.754, 116.962 Yakutsk, 61.662, 129.367 Yekaterinburg, 57.038, 59.545 Yufa_PEK, 39.309, 116.184 Yulin, 38.283, 109.717 Zambezi, -13.533, 23.107 2006-10-01 1 day 1 1993-05-15 2009-01-01 common map_time_view POINT common map_time_view POINT server=sqlbox.me.wustl.edu;database=Datasets;uid=dataro;pwd=dataro:: SELECT loc_code, lat, lon, datetime, [[[param_code]]] as [[[param_abbr]]] FROM aeronet_day WHERE ([[[param_code]]] is not null) and (datetime between '[[datetime_min]]' and '[[datetime_max]]') and (lat between [[lat_min]] and [[lat_max]]) and (lon between [[lon_min]] and [[lon_max]]) and (([[do_compare_locs]]=0) or (loc_code in ([[loc_code_list]]))) and (([[do_compare_times]]=0) or (datetime in ([[datetime_list]]))) [[sql_filter]] ORDER BY datetime, lon, lat SQL POINT server=sqlbox.me.wustl.edu;database=Datasets;uid=dataro;pwd=dataro:: SELECT loc_code, lat, lon, datetime, [AOT_1640] as AOT_1640, [AOT_1020] as AOT_1020, [AOT_870] as AOT_870, [AOT_675] as AOT_675, [AOT_667] as AOT_667, [AOT_555] as AOT_555, [AOT_551] as AOT_551, [AOT_532] as AOT_532, [AOT_531] as AOT_531, [AOT_500] as AOT_500, [AOT_490] as AOT_490, [AOT_443] as AOT_443, [AOT_440] as AOT_440, [AOT_412] as AOT_412, [AOT_380] as AOT_380, [AOT_340] as AOT_340, [Water(cm)] as Water, [%TripletVar_1640] as TripletVar_1640, [%TripletVar_1020] as TripletVar_1020, [%TripletVar_870] as TripletVar_870, [%TripletVar_675] as TripletVar_675, [%TripletVar_667] as TripletVar_667, [%TripletVar_555] as TripletVar_555, [%TripletVar_551] as TripletVar_551, [%TripletVar_532] as TripletVar_532, [%TripletVar_531] as TripletVar_531, [%TripletVar_500] as TripletVar_500, [%TripletVar_490] as TripletVar_490, [%TripletVar_443] as TripletVar_443, [%TripletVar_440] as TripletVar_440, [%TripletVar_412] as TripletVar_412, [%TripletVar_380] as TripletVar_380, [%TripletVar_340] as TripletVar_340, [%WaterError] as WaterError, [440-870Angstrom] as [440-870Angstrom], [380-500Angstrom] as [380-500Angstrom], [440-675Angstrom] as [440-675Angstrom], [500-870Angstrom] as [500-870Angstrom], [340-440Angstrom] as [340-440Angstrom], [440-675Angstrom] as [440-675Angstrom], [N AOT_1640] as N_AOT_1640, [N AOT_1020] as N_AOT_1020, [N AOT_870] as N_AOT_870, [N AOT_675] as N_AOT_675, [N AOT_667] as N_AOT_667, [N AOT_555] as N_AOT_555, [N AOT_551] as N_AOT_551, [N AOT_532] as N_AOT_532, [N AOT_531] as N_AOT_531, [N AOT_500] as N_AOT_500, [N AOT_490] as N_AOT_490, [N AOT_443] as N_AOT_443, [N AOT_440] as N_AOT_440, [N AOT_412] as N_AOT_412, [N AOT_380] as N_AOT_380, [N AOT_340] as N_AOT_340, [N Water(cm)] as N_Water, [N 440-870Angstrom] as [N_440-870Angstrom], [N 380-500Angstrom] as [N_380-500Angstrom], [N 440-675Angstrom] as [N_440-675Angstrom], [N 500-870Angstrom] as [N_500-870Angstrom], [N 340-440Angstrom] as [N_340-440Angstrom], [N 440-675Angstrom(Polar)] as [N_440-675Angstrom_polar] FROM aeronet_day WHERE [datetime] = '[[datetime]]' and loc_code='[[loc_code]]' SQL TABLE