Ozone overpass data based on Nimbus 7 TOMS

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Overpass data of level 4 ozone data from TM3DAM-TOMS_N7

The following table lists the places in alphabetic order.

Some further notes regarding the data file are given below the table.

 

station/place name
 		longitude latitude download the ascii file
time series data file
Aberystwyth -4.10 52.40 Aberystwyth_tm3dam_toms_n7.dat
Akedala 88.05 47.44 Akedala_tm3dam_toms_n7.dat
Alomar 16.01 69.28 Alomar_tm3dam_toms_n7.dat
Amberd 44.25 40.38 Amberd_tm3dam_toms_n7.dat
Amundsen-scott -24.80 -89.98 Amundsen-scott_tm3dam_toms_n7.dat
Arosa 9.68 46.78 Arosa_tm3dam_toms_n7.dat
Aswan 32.78 23.97 Aswan_tm3dam_toms_n7.dat
Athens 23.73 37.98 Athens_tm3dam_toms_n7.dat
Bangkok 100.61 13.67 Bangkok_tm3dam_toms_n7.dat
Barrow -156.60 71.32 Barrow_tm3dam_toms_n7.dat
Beijing 116.40 39.93 Beijing_tm3dam_toms_n7.dat
Belgrano -34.40 -77.52 Belgrano_tm3dam_toms_n7.dat
Bismarck -100.75 46.77 Bismarck_tm3dam_toms_n7.dat
Bordeaux -0.53 44.84 Bordeaux_tm3dam_toms_n7.dat
Boulder -105.25 40.03 Boulder_tm3dam_toms_n7.dat
Bucharest 26.13 44.48 Bucharest_tm3dam_toms_n7.dat
Budapest-lorinc 19.18 47.43 Budapest-lorinc_tm3dam_toms_n7.dat
Buenos_Aires -58.48 -34.58 Buenos_Aires_tm3dam_toms_n7.dat
Cachoeira_Paulista -45.00 -22.40 Cachoeira_Paulista_tm3dam_toms_n7.dat
Cairo 31.28 30.08 Cairo_tm3dam_toms_n7.dat
Camborne -5.32 50.22 Camborne_tm3dam_toms_n7.dat
Caribou -68.03 46.87 Caribou_tm3dam_toms_n7.dat
Comodoro_Rivadavia -67.50 -45.78 Comodoro_Rivadavia_tm3dam_toms_n7.dat
Davis 78.00 -68.35 Davis_tm3dam_toms_n7.dat
De_Bilt 5.18 52.10 De_Bilt_tm3dam_toms_n7.dat
Dumont_dUrville 140.01 -66.04 Dumont_dUrville_tm3dam_toms_n7.dat
El_Arenosillo -6.73 37.10 El_Arenosillo_tm3dam_toms_n7.dat
Eureka 273.60 80.10 Eureka_tm3dam_toms_n7.dat
Fairbanks -147.87 64.82 Fairbanks_tm3dam_toms_n7.dat
Garmisch-Partenkirchen 11.00 47.50 Garmisch-Partenkirchen_tm3dam_toms_n7.dat
Goddard -76.83 38.99 Goddard_tm3dam_toms_n7.dat
Halley_Bay -26.40 -75.31 Halley_Bay_tm3dam_toms_n7.dat
Hanford -119.63 36.32 Hanford_tm3dam_toms_n7.dat
Hanoi 105.85 21.03 Hanoi_tm3dam_toms_n7.dat
Haute_Provence 5.70 43.93 Haute_Provence_tm3dam_toms_n7.dat
Havana -82.22 23.07 Havana_tm3dam_toms_n7.dat
Hohenpeissenberg 11.02 47.80 Hohenpeissenberg_tm3dam_toms_n7.dat
Hong_Kong 114.10 22.19 Hong_Kong_tm3dam_toms_n7.dat
Hradec_Kralove 15.83 50.18 Hradec_Kralove_tm3dam_toms_n7.dat
Hurghada 33.75 27.28 Hurghada_tm3dam_toms_n7.dat
Irene 28.19 -25.56 Irene_tm3dam_toms_n7.dat
Isfahan 51.42 32.48 Isfahan_tm3dam_toms_n7.dat
Ispra_Varese 8.63 45.80 Ispra_Varese_tm3dam_toms_n7.dat
Issyk-kul 76.98 42.62 Issyk-kul_tm3dam_toms_n7.dat
Jokioinen 23.30 60.49 Jokioinen_tm3dam_toms_n7.dat
Kagoshima 130.56 31.58 Kagoshima_tm3dam_toms_n7.dat
Kaunas 23.54 54.52 Kaunas_tm3dam_toms_n7.dat
Kunming 102.68 25.02 Kunming_tm3dam_toms_n7.dat
Lauder 169.68 -45.04 Lauder_tm3dam_toms_n7.dat
Lerwick -1.18 60.13 Lerwick_tm3dam_toms_n7.dat
Lhasa 91.08 29.40 Lhasa_tm3dam_toms_n7.dat
Linan 119.73 30.30 Linan_tm3dam_toms_n7.dat
Lindenberg 14.12 52.21 Lindenberg_tm3dam_toms_n7.dat
Longfenshan 127.60 44.75 Longfenshan_tm3dam_toms_n7.dat
Marambio -56.72 -64.23 Marambio_tm3dam_toms_n7.dat
Marcapomacocha -76.19 -11.23 Marcapomacocha_tm3dam_toms_n7.dat
Mauna_Loa -155.57 19.53 Mauna_Loa_tm3dam_toms_n7.dat
Mcmurdo 166.67 -77.83 Mcmurdo_tm3dam_toms_n7.dat
Mexico_City -99.10 19.19 Mexico_City_tm3dam_toms_n7.dat
Mohe 122.31 52.58 Mohe_tm3dam_toms_n7.dat
Mrsa_Matrouh 27.22 31.33 Mrsa_Matrouh_tm3dam_toms_n7.dat
Murcia -1.17 38.00 Murcia_tm3dam_toms_n7.dat
Naha 127.68 26.20 Naha_tm3dam_toms_n7.dat
Nashville -86.57 36.25 Nashville_tm3dam_toms_n7.dat
Natal -35.12 -5.50 Natal_tm3dam_toms_n7.dat
Neumayer -8.15 -70.39 Neumayer_tm3dam_toms_n7.dat
New_Delhi 77.22 28.65 New_Delhi_tm3dam_toms_n7.dat
Norrkoping 16.15 58.58 Norrkoping_tm3dam_toms_n7.dat
Novolazarevskaya 11.50 -70.46 Novolazarevskaya_tm3dam_toms_n7.dat
Ny_Alesund 11.90 78.90 Ny_Alesund_tm3dam_toms_n7.dat
Paramaribo -55.20 5.75 Paramaribo_tm3dam_toms_n7.dat
Payerne 6.95 46.82 Payerne_tm3dam_toms_n7.dat
Perth 115.95 -31.92 Perth_tm3dam_toms_n7.dat
Petaling_Jaya 101.65 3.10 Petaling_Jaya_tm3dam_toms_n7.dat
Poona 73.85 18.53 Poona_tm3dam_toms_n7.dat
Poprad-Ganovce 20.32 49.03 Poprad-Ganovce_tm3dam_toms_n7.dat
Potsdam 13.05 52.22 Potsdam_tm3dam_toms_n7.dat
Quetta 66.57 30.11 Quetta_tm3dam_toms_n7.dat
Resolute 265.00 74.67 Resolute_tm3dam_toms_n7.dat
Rothera -68.07 -67.34 Rothera_tm3dam_toms_n7.dat
Salto -57.58 -31.22 Salto_tm3dam_toms_n7.dat
Samoa -170.56 -14.25 Samoa_tm3dam_toms_n7.dat
San_Martin -67.06 -68.07 San_Martin_tm3dam_toms_n7.dat
Sanya 109.31 18.14 Sanya_tm3dam_toms_n7.dat
Sapporo 141.33 43.06 Sapporo_tm3dam_toms_n7.dat
Singapore 103.88 1.33 Singapore_tm3dam_toms_n7.dat
Sodankyla 26.65 67.39 Sodankyla_tm3dam_toms_n7.dat
Songkhla 100.60 7.20 Songkhla_tm3dam_toms_n7.dat
Springbok 17.90 -29.67 Springbok_tm3dam_toms_n7.dat
Syowa 39.58 -69.00 Syowa_tm3dam_toms_n7.dat
Tamanrasset 5.52 22.80 Tamanrasset_tm3dam_toms_n7.dat
Tateno 140.10 36.06 Tateno_tm3dam_toms_n7.dat
Tengchong 98.29 25.07 Tengchong_tm3dam_toms_n7.dat
Thessaloniki 22.97 40.50 Thessaloniki_tm3dam_toms_n7.dat
Uccle 4.35 50.80 Uccle_tm3dam_toms_n7.dat
Ushuaia -68.31 -54.85 Ushuaia_tm3dam_toms_n7.dat
Valentia_Observatory -10.25 51.93 Valentia_Observatory_tm3dam_toms_n7.dat
Varanasi 83.03 25.32 Varanasi_tm3dam_toms_n7.dat
Vernadsky_Faraday -64.16 -65.15 Vernadsky_Faraday_tm3dam_toms_n7.dat
Vindeln 19.77 64.24 Vindeln_tm3dam_toms_n7.dat
Waliguan 100.90 36.29 Waliguan_tm3dam_toms_n7.dat
Wallops_Island -75.48 37.93 Wallops_Island_tm3dam_toms_n7.dat
Xianghe 116.37 39.98 Xianghe_tm3dam_toms_n7.dat
Yakutsk 129.83 62.17 Yakutsk_tm3dam_toms_n7.dat
Zhongshan 76.37 -69.38 Zhongshan_tm3dam_toms_n7.dat
 
 

Notes

The list in the table above gives for each ground station the geographical coordinates (in degrees) If there is no ground station known in a place listed above, the coordinates are those of the inhabited place.

The data files give for each day:

 

last modified: 18 May 2007
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