Greetings! Apologies for the delayed response. Can you send the full code for the query you're using to download? If I try to follow what I think you're doing: cat = TDSCatalog('http://thredds.ucar.edu/thredds/catalog/grib/NCEP/GFS/Global_0p25deg/catalog.xml') best = cat.datasets['Best GFS Quarter Degree Forecast Time Series'] ncss = best.subset() query = ncss.query().variables('Geopotential_height_isobaric').vertical_level('25000') ncss.get_data(query) I don't get the message about the query being too large. Cheers, Ryan > > Unidata User Support > If i remember correctly asking for bulk requests for Data in the upper > air regions 500mb - 250mb (Jetstream) will result in a significantly > larger GFS requests so this may be one of the problems. One of the > additional things i can remember is with 850-250mb charts are the > addition of wind knots data aka wind values for u and v as well as the > upper level isobaric data requests. > > So i am thinking that asking for these parameters in my amended script > has resulted in the inflated GFS request as well as the fact that the > request is for the entire time series over the US. > Ticket Details =================== Ticket ID: LCL-405251 Department: Support Python Priority: Low Status: Closed =================== NOTE: All email exchanges with Unidata User Support are recorded in the Unidata inquiry tracking system and then made publicly available through the web. If you do not want to have your interactions made available in this way, you must let us know in each email you send to us.