{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 🚦 \"Start your engines!\"\n", "\n", "\n", "\n", "With Herbie installed, you are about to begin the race. The following are some key concepts:\n", "\n", "1. Numerical weather prediction (NWP) data is diseminated in GRIB2 format.\n", "1. Herbie helps you find, download, and load NWP data from different archive sources. \n", "1. The `Herbie` class is the most fundamental component of Herbie. Herbie races to look for the NWP model data you ask for.\n", "\n", "Let's see how to use Herbe. First, import Herbie.\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "ERROR 1: PROJ: proj_create_from_database: Open of /home/blaylock/miniconda3/envs/herbie-dev/share/proj failed\n" ] } ], "source": [ "from herbie import Herbie" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Tell Herbie the model run date you are interested in. The input date can be a Pandas parseable Date-Time string, or a datetime object.\n", "\n", "By default it looks for the HRRR model (unless you modified the Herbie configuration file).\n", "\n", "When I create Herbie objects, I like to save them to the variable `H`:\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "✅ Found ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Apr-01 12:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n" ] } ], "source": [ "H = Herbie(\"2024-04-01 12:00\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can see that Herbie says it found the HRRR model for the date we asked for, at Amazon Web Services (AWS).\n", "\n", "Show where the file is located:\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr.20240401/conus/hrrr.t12z.wrfsfcf00.grib2'" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "H.grib" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If no file was found, Herbie will tell you.\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "💔 Did not find ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2000-Jan-01 00:00 UTC\u001b[92m F00\u001b[0m\n" ] }, { "data": { "text/plain": [ "\u001b[48;2;255;255;255m\u001b[38;2;136;33;27m▌\u001b[0m\u001b[38;2;12;53;118m\u001b[48;2;240;234;210m▌\u001b[38;2;0;0;0m\u001b[1mHerbie\u001b[0m HRRR model \u001b[3msfc\u001b[0m product initialized \u001b[38;2;41;130;13m2000-Jan-01 00:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=None\u001b[0m" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Herbie(\"2000-01-01\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ok, back to our example. You can specify other arguments in the Herbie class.\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "✅ Found ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Apr-01 12:00 UTC\u001b[92m F06\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n" ] }, { "data": { "text/plain": [ "\u001b[48;2;255;255;255m\u001b[38;2;136;33;27m▌\u001b[0m\u001b[38;2;12;53;118m\u001b[48;2;240;234;210m▌\u001b[38;2;0;0;0m\u001b[1mHerbie\u001b[0m HRRR model \u001b[3msfc\u001b[0m product initialized \u001b[38;2;41;130;13m2024-Apr-01 12:00 UTC\u001b[92m F06\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "H = Herbie(\n", " \"2024-04-01 12:00\", # Model initialization time\n", " model=\"hrrr\", # Model name\n", " fxx=6, # Forecast step, in hours\n", " product=\"sfc\", # Model product\n", ")\n", "H" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are three fundamental things you can do with a Herbie object:\n", "\n", "1. Show an inventory of the file contents;\n", "1. Download the GRIB2 file to your local machine;\n", "1. Open specific GRIB messages (variables) into an xarray Dataset.\n", "\n", "## GRIB2 file inventory\n", "\n", "File invenotries are retuned as a Pandas DataFrame.\n", "\n", "Let's first show how to show a file inventory for a GFS 12-hr forecast file.\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "✅ Found ┊ model=gfs ┊ \u001b[3mproduct=pgrb2.0p25\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Feb-05 00:00 UTC\u001b[92m F12\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n" ] }, { "data": { "text/html": [ "
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grib_messagestart_byteend_byterangereference_timevalid_timevariablelevelforecast_timesearch_this
010999868.00-9998682024-02-052024-02-05 12:00:00PRMSLmean sea level12 hour fcst:PRMSL:mean sea level:12 hour fcst
129998691091477.0999869-10914772024-02-052024-02-05 12:00:00CLMR1 hybrid level12 hour fcst:CLMR:1 hybrid level:12 hour fcst
2310914781376295.01091478-13762952024-02-052024-02-05 12:00:00ICMR1 hybrid level12 hour fcst:ICMR:1 hybrid level:12 hour fcst
3413762961621422.01376296-16214222024-02-052024-02-05 12:00:00RWMR1 hybrid level12 hour fcst:RWMR:1 hybrid level:12 hour fcst
4516214231717851.01621423-17178512024-02-052024-02-05 12:00:00SNMR1 hybrid level12 hour fcst:SNMR:1 hybrid level:12 hour fcst
.................................
738739534226517534874064.0534226517-5348740642024-02-052024-02-05 12:00:00VGRDPV=-2e-06 (Km^2/kg/s) surface12 hour fcst:VGRD:PV=-2e-06 (Km^2/kg/s) surface:12 hour fcst
739740534874065535523722.0534874065-5355237222024-02-052024-02-05 12:00:00TMPPV=-2e-06 (Km^2/kg/s) surface12 hour fcst:TMP:PV=-2e-06 (Km^2/kg/s) surface:12 hour fcst
740741535523723536688853.0535523723-5366888532024-02-052024-02-05 12:00:00HGTPV=-2e-06 (Km^2/kg/s) surface12 hour fcst:HGT:PV=-2e-06 (Km^2/kg/s) surface:12 hour fcst
741742536688854537810720.0536688854-5378107202024-02-052024-02-05 12:00:00PRESPV=-2e-06 (Km^2/kg/s) surface12 hour fcst:PRES:PV=-2e-06 (Km^2/kg/s) surface:12 hour fcst
742743537810721NaN537810721-2024-02-052024-02-05 12:00:00VWSHPV=-2e-06 (Km^2/kg/s) surface12 hour fcst:VWSH:PV=-2e-06 (Km^2/kg/s) surface:12 hour fcst
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" ], "text/plain": [ " grib_message start_byte end_byte range \\\n", "0 1 0 999868.0 0-999868 \n", "1 2 999869 1091477.0 999869-1091477 \n", "2 3 1091478 1376295.0 1091478-1376295 \n", "3 4 1376296 1621422.0 1376296-1621422 \n", "4 5 1621423 1717851.0 1621423-1717851 \n", ".. ... ... ... ... \n", "738 739 534226517 534874064.0 534226517-534874064 \n", "739 740 534874065 535523722.0 534874065-535523722 \n", "740 741 535523723 536688853.0 535523723-536688853 \n", "741 742 536688854 537810720.0 536688854-537810720 \n", "742 743 537810721 NaN 537810721- \n", "\n", " reference_time valid_time variable \\\n", "0 2024-02-05 2024-02-05 12:00:00 PRMSL \n", "1 2024-02-05 2024-02-05 12:00:00 CLMR \n", "2 2024-02-05 2024-02-05 12:00:00 ICMR \n", "3 2024-02-05 2024-02-05 12:00:00 RWMR \n", "4 2024-02-05 2024-02-05 12:00:00 SNMR \n", ".. ... ... ... \n", "738 2024-02-05 2024-02-05 12:00:00 VGRD \n", "739 2024-02-05 2024-02-05 12:00:00 TMP \n", "740 2024-02-05 2024-02-05 12:00:00 HGT \n", "741 2024-02-05 2024-02-05 12:00:00 PRES \n", "742 2024-02-05 2024-02-05 12:00:00 VWSH \n", "\n", " level forecast_time \\\n", "0 mean sea level 12 hour fcst \n", "1 1 hybrid level 12 hour fcst \n", "2 1 hybrid level 12 hour fcst \n", "3 1 hybrid level 12 hour fcst \n", "4 1 hybrid level 12 hour fcst \n", ".. ... ... \n", "738 PV=-2e-06 (Km^2/kg/s) surface 12 hour fcst \n", "739 PV=-2e-06 (Km^2/kg/s) surface 12 hour fcst \n", "740 PV=-2e-06 (Km^2/kg/s) surface 12 hour fcst \n", "741 PV=-2e-06 (Km^2/kg/s) surface 12 hour fcst \n", "742 PV=-2e-06 (Km^2/kg/s) surface 12 hour fcst \n", "\n", " search_this \n", "0 :PRMSL:mean sea level:12 hour fcst \n", "1 :CLMR:1 hybrid level:12 hour fcst \n", "2 :ICMR:1 hybrid level:12 hour fcst \n", "3 :RWMR:1 hybrid level:12 hour fcst \n", "4 :SNMR:1 hybrid level:12 hour fcst \n", ".. ... \n", "738 :VGRD:PV=-2e-06 (Km^2/kg/s) surface:12 hour fcst \n", "739 :TMP:PV=-2e-06 (Km^2/kg/s) surface:12 hour fcst \n", "740 :HGT:PV=-2e-06 (Km^2/kg/s) surface:12 hour fcst \n", "741 :PRES:PV=-2e-06 (Km^2/kg/s) surface:12 hour fcst \n", "742 :VWSH:PV=-2e-06 (Km^2/kg/s) surface:12 hour fcst \n", "\n", "[743 rows x 10 columns]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "H = Herbie(\"2024-02-05\", model=\"gfs\", fxx=12)\n", "H.inventory()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "GRIB files have a lot of data in them. Each GRIB message represents a different variable at a specific level or layer. You can filter the GRIB messages for a specific variable. Finding exactly what you want takes some getting used to, but if you play with the inventory print out, you'll get the hange of it.\n", "\n", "Pay special attention to the `search_this` column; you can use regular expression to filter the rows based on that column.\n", "\n", "> **Don't know regex yet?** It is worth learning, I highly recomend it 😄 You can use sites like or ChatGPT to explain how regex works.\n", "\n", "For example, lets get all temperature fields on pressure levels: ([Explain](https://regex101.com/r/mJpuLb/2))\n", "\n", "> Note: the `r` preceeding `r\"string\"` means this is a \"raw\" string, which is needed for some regex expressions so backslashes are not escaped. When using regex as a string, it's best practice to get in the habit of using `r\"string\"`.\n" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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grib_messagestart_byteend_byterangereference_timevalid_timevariablelevelforecast_timesearch_this
95967466482175478525.074664821-754785252024-02-052024-02-05 12:00:00TMP1 mb12 hour fcst:TMP:1 mb:12 hour fcst
1051068236960083190647.082369600-831906472024-02-052024-02-05 12:00:00TMP2 mb12 hour fcst:TMP:2 mb:12 hour fcst
1151169018584290990476.090185842-909904762024-02-052024-02-05 12:00:00TMP3 mb12 hour fcst:TMP:3 mb:12 hour fcst
1251269786169298668588.097861692-986685882024-02-052024-02-05 12:00:00TMP5 mb12 hour fcst:TMP:5 mb:12 hour fcst
135136105711779106489418.0105711779-1064894182024-02-052024-02-05 12:00:00TMP7 mb12 hour fcst:TMP:7 mb:12 hour fcst
145146113582833114350030.0113582833-1143500302024-02-052024-02-05 12:00:00TMP10 mb12 hour fcst:TMP:10 mb:12 hour fcst
155156121299505122061980.0121299505-1220619802024-02-052024-02-05 12:00:00TMP15 mb12 hour fcst:TMP:15 mb:12 hour fcst
165166129508823130263235.0129508823-1302632352024-02-052024-02-05 12:00:00TMP20 mb12 hour fcst:TMP:20 mb:12 hour fcst
175176137665804138402308.0137665804-1384023082024-02-052024-02-05 12:00:00TMP30 mb12 hour fcst:TMP:30 mb:12 hour fcst
185186146139516146897181.0146139516-1468971812024-02-052024-02-05 12:00:00TMP40 mb12 hour fcst:TMP:40 mb:12 hour fcst
195196154782262155525408.0154782262-1555254082024-02-052024-02-05 12:00:00TMP50 mb12 hour fcst:TMP:50 mb:12 hour fcst
211212166862208167619138.0166862208-1676191382024-02-052024-02-05 12:00:00TMP70 mb12 hour fcst:TMP:70 mb:12 hour fcst
221222175629371176389735.0175629371-1763897352024-02-052024-02-05 12:00:00TMP100 mb12 hour fcst:TMP:100 mb:12 hour fcst
237238186173272186923340.0186173272-1869233402024-02-052024-02-05 12:00:00TMP150 mb12 hour fcst:TMP:150 mb:12 hour fcst
253254195633620196392162.0195633620-1963921622024-02-052024-02-05 12:00:00TMP200 mb12 hour fcst:TMP:200 mb:12 hour fcst
269270205549986206297215.0205549986-2062972152024-02-052024-02-05 12:00:00TMP250 mb12 hour fcst:TMP:250 mb:12 hour fcst
285286215971488216733986.0215971488-2167339862024-02-052024-02-05 12:00:00TMP300 mb12 hour fcst:TMP:300 mb:12 hour fcst
301302226589468227325614.0226589468-2273256142024-02-052024-02-05 12:00:00TMP350 mb12 hour fcst:TMP:350 mb:12 hour fcst
317318236966573237691529.0236966573-2376915292024-02-052024-02-05 12:00:00TMP400 mb12 hour fcst:TMP:400 mb:12 hour fcst
333334247327024248051266.0247327024-2480512662024-02-052024-02-05 12:00:00TMP450 mb12 hour fcst:TMP:450 mb:12 hour fcst
349350257636441258358197.0257636441-2583581972024-02-052024-02-05 12:00:00TMP500 mb12 hour fcst:TMP:500 mb:12 hour fcst
365366267803279268530231.0267803279-2685302312024-02-052024-02-05 12:00:00TMP550 mb12 hour fcst:TMP:550 mb:12 hour fcst
381382278606517279337326.0278606517-2793373262024-02-052024-02-05 12:00:00TMP600 mb12 hour fcst:TMP:600 mb:12 hour fcst
397398289355302290094486.0289355302-2900944862024-02-052024-02-05 12:00:00TMP650 mb12 hour fcst:TMP:650 mb:12 hour fcst
413414300335831301091467.0300335831-3010914672024-02-052024-02-05 12:00:00TMP700 mb12 hour fcst:TMP:700 mb:12 hour fcst
429430311417304312194671.0311417304-3121946712024-02-052024-02-05 12:00:00TMP750 mb12 hour fcst:TMP:750 mb:12 hour fcst
445446322661406323469528.0322661406-3234695282024-02-052024-02-05 12:00:00TMP800 mb12 hour fcst:TMP:800 mb:12 hour fcst
461462334281650335121092.0334281650-3351210922024-02-052024-02-05 12:00:00TMP850 mb12 hour fcst:TMP:850 mb:12 hour fcst
477478346331108347187535.0346331108-3471875352024-02-052024-02-05 12:00:00TMP900 mb12 hour fcst:TMP:900 mb:12 hour fcst
493494358388768359246780.0358388768-3592467802024-02-052024-02-05 12:00:00TMP925 mb12 hour fcst:TMP:925 mb:12 hour fcst
509510370297558371154825.0370297558-3711548252024-02-052024-02-05 12:00:00TMP950 mb12 hour fcst:TMP:950 mb:12 hour fcst
526527382154490383009772.0382154490-3830097722024-02-052024-02-05 12:00:00TMP975 mb12 hour fcst:TMP:975 mb:12 hour fcst
541542392327983393187769.0392327983-3931877692024-02-052024-02-05 12:00:00TMP1000 mb12 hour fcst:TMP:1000 mb:12 hour fcst
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12:00:00 TMP 1 mb 12 hour fcst \n", "105 2024-02-05 2024-02-05 12:00:00 TMP 2 mb 12 hour fcst \n", "115 2024-02-05 2024-02-05 12:00:00 TMP 3 mb 12 hour fcst \n", "125 2024-02-05 2024-02-05 12:00:00 TMP 5 mb 12 hour fcst \n", "135 2024-02-05 2024-02-05 12:00:00 TMP 7 mb 12 hour fcst \n", "145 2024-02-05 2024-02-05 12:00:00 TMP 10 mb 12 hour fcst \n", "155 2024-02-05 2024-02-05 12:00:00 TMP 15 mb 12 hour fcst \n", "165 2024-02-05 2024-02-05 12:00:00 TMP 20 mb 12 hour fcst \n", "175 2024-02-05 2024-02-05 12:00:00 TMP 30 mb 12 hour fcst \n", "185 2024-02-05 2024-02-05 12:00:00 TMP 40 mb 12 hour fcst \n", "195 2024-02-05 2024-02-05 12:00:00 TMP 50 mb 12 hour fcst \n", "211 2024-02-05 2024-02-05 12:00:00 TMP 70 mb 12 hour fcst \n", "221 2024-02-05 2024-02-05 12:00:00 TMP 100 mb 12 hour fcst \n", "237 2024-02-05 2024-02-05 12:00:00 TMP 150 mb 12 hour fcst \n", "253 2024-02-05 2024-02-05 12:00:00 TMP 200 mb 12 hour fcst \n", "269 2024-02-05 2024-02-05 12:00:00 TMP 250 mb 12 hour fcst \n", "285 2024-02-05 2024-02-05 12:00:00 TMP 300 mb 12 hour fcst \n", "301 2024-02-05 2024-02-05 12:00:00 TMP 350 mb 12 hour fcst \n", "317 2024-02-05 2024-02-05 12:00:00 TMP 400 mb 12 hour fcst \n", "333 2024-02-05 2024-02-05 12:00:00 TMP 450 mb 12 hour fcst \n", "349 2024-02-05 2024-02-05 12:00:00 TMP 500 mb 12 hour fcst \n", "365 2024-02-05 2024-02-05 12:00:00 TMP 550 mb 12 hour fcst \n", "381 2024-02-05 2024-02-05 12:00:00 TMP 600 mb 12 hour fcst \n", "397 2024-02-05 2024-02-05 12:00:00 TMP 650 mb 12 hour fcst \n", "413 2024-02-05 2024-02-05 12:00:00 TMP 700 mb 12 hour fcst \n", "429 2024-02-05 2024-02-05 12:00:00 TMP 750 mb 12 hour fcst \n", "445 2024-02-05 2024-02-05 12:00:00 TMP 800 mb 12 hour fcst \n", "461 2024-02-05 2024-02-05 12:00:00 TMP 850 mb 12 hour fcst \n", "477 2024-02-05 2024-02-05 12:00:00 TMP 900 mb 12 hour fcst \n", "493 2024-02-05 2024-02-05 12:00:00 TMP 925 mb 12 hour fcst \n", "509 2024-02-05 2024-02-05 12:00:00 TMP 950 mb 12 hour fcst \n", "526 2024-02-05 2024-02-05 12:00:00 TMP 975 mb 12 hour fcst \n", "541 2024-02-05 2024-02-05 12:00:00 TMP 1000 mb 12 hour fcst \n", "\n", " search_this \n", "95 :TMP:1 mb:12 hour fcst \n", "105 :TMP:2 mb:12 hour fcst \n", "115 :TMP:3 mb:12 hour fcst \n", "125 :TMP:5 mb:12 hour fcst \n", "135 :TMP:7 mb:12 hour fcst \n", "145 :TMP:10 mb:12 hour fcst \n", "155 :TMP:15 mb:12 hour fcst \n", "165 :TMP:20 mb:12 hour fcst \n", "175 :TMP:30 mb:12 hour fcst \n", "185 :TMP:40 mb:12 hour fcst \n", "195 :TMP:50 mb:12 hour fcst \n", "211 :TMP:70 mb:12 hour fcst \n", "221 :TMP:100 mb:12 hour fcst \n", "237 :TMP:150 mb:12 hour fcst \n", "253 :TMP:200 mb:12 hour fcst \n", "269 :TMP:250 mb:12 hour fcst \n", "285 :TMP:300 mb:12 hour fcst \n", "301 :TMP:350 mb:12 hour fcst \n", "317 :TMP:400 mb:12 hour fcst \n", "333 :TMP:450 mb:12 hour fcst \n", "349 :TMP:500 mb:12 hour fcst \n", "365 :TMP:550 mb:12 hour fcst \n", "381 :TMP:600 mb:12 hour fcst \n", "397 :TMP:650 mb:12 hour fcst \n", "413 :TMP:700 mb:12 hour fcst \n", "429 :TMP:750 mb:12 hour fcst \n", "445 :TMP:800 mb:12 hour fcst \n", "461 :TMP:850 mb:12 hour fcst \n", "477 :TMP:900 mb:12 hour fcst \n", "493 :TMP:925 mb:12 hour fcst \n", "509 :TMP:950 mb:12 hour fcst \n", "526 :TMP:975 mb:12 hour fcst \n", "541 :TMP:1000 mb:12 hour fcst " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "H.inventory(r\":TMP:\\d+ mb:\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Lets do another.\n", "\n", "Get U and V wind at 10 m above the surface: ([Explain](https://regex101.com/r/3XA5Rn/1))\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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grib_messagestart_byteend_byterangereference_timevalid_timevariablelevelforecast_timesearch_this
587588419775774420738935.0419775774-4207389352024-02-052024-02-05 12:00:00UGRD10 m above ground12 hour fcst:UGRD:10 m above ground:12 hour fcst
588589420738936421677436.0420738936-4216774362024-02-052024-02-05 12:00:00VGRD10 m above ground12 hour fcst:VGRD:10 m above ground:12 hour fcst
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" ], "text/plain": [ " grib_message start_byte end_byte range \\\n", "587 588 419775774 420738935.0 419775774-420738935 \n", "588 589 420738936 421677436.0 420738936-421677436 \n", "\n", " reference_time valid_time variable level \\\n", "587 2024-02-05 2024-02-05 12:00:00 UGRD 10 m above ground \n", "588 2024-02-05 2024-02-05 12:00:00 VGRD 10 m above ground \n", "\n", " forecast_time search_this \n", "587 12 hour fcst :UGRD:10 m above ground:12 hour fcst \n", "588 12 hour fcst :VGRD:10 m above ground:12 hour fcst " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "H.inventory(r\":[U|V]GRD:10 m above\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Download GRIB files\n", "\n", "Herbie can download full files or select messages from a GRIB file.\n", "\n", "Let's download a full HRRR file, and for the sake of demonstration, lets turn on verbose information:\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "✅ Found ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jan-01 06:00 UTC\u001b[92m F06\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n", "👨🏻‍🏭 Created directory: [/home/blaylock/data/hrrr/20240101]\n", "✅ Success! Downloaded HRRR from \u001b[38;5;202maws \u001b[0m\n", "\tsrc: https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr.20240101/conus/hrrr.t06z.wrfsfcf06.grib2\n", "\tdst: /home/blaylock/data/hrrr/20240101/hrrr.t06z.wrfsfcf06.grib2\n" ] }, { "data": { "text/plain": [ "PosixPath('/home/blaylock/data/hrrr/20240101/hrrr.t06z.wrfsfcf06.grib2')" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "H = Herbie(\"2024-01-01 06:00\", model=\"hrrr\", fxx=6)\n", "myFile = H.download(verbose=True)\n", "myFile" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "HRRR files are large--over 100 mb per file--which takes time and space (GFS files are even larger; over 500 MB for a single file!). You very likely don't need _everything_ that is provided in a GRIB file. This is why knowing how to filter the inventory, as shown earlier, is very important; you can specify which GRIB messages you actually want to download.\n", "\n", "Now lets just download the 10-m wind fields from the HRRR file:\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "✅ Found ┊ model=gfs ┊ \u001b[3mproduct=pgrb2.0p25\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jan-01 06:00 UTC\u001b[92m F06\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n", "👨🏻‍🏭 Created directory: [/home/blaylock/data/gfs/20240101]\n", "📇 Download subset: \u001b[48;2;255;255;255m\u001b[38;2;136;33;27m▌\u001b[0m\u001b[38;2;12;53;118m\u001b[48;2;240;234;210m▌\u001b[38;2;0;0;0m\u001b[1mHerbie\u001b[0m GFS model \u001b[3mpgrb2.0p25\u001b[0m product initialized \u001b[38;2;41;130;13m2024-Jan-01 06:00 UTC\u001b[92m F06\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m \n", " cURL from https://noaa-gfs-bdp-pds.s3.amazonaws.com/gfs.20240101/06/atmos/gfs.t06z.pgrb2.0p25.f006\n", "Found \u001b[1m\u001b[38;2;41;130;13m2\u001b[0m grib messages.\n", "Download subset group 1\n", " 588 \u001b[38;2;255;153;0m:UGRD:10 m above ground:6 hour fcst\u001b[0m\n", " 589 \u001b[38;2;255;153;0m:VGRD:10 m above ground:6 hour fcst\u001b[0m\n", "curl -s --range 417094105-418994003 \"https://noaa-gfs-bdp-pds.s3.amazonaws.com/gfs.20240101/06/atmos/gfs.t06z.pgrb2.0p25.f006\" > \"/home/blaylock/data/gfs/20240101/subset_33b288d0__gfs.t06z.pgrb2.0p25.f006\"\n", "💾 Saved the subset to /home/blaylock/data/gfs/20240101/subset_33b288d0__gfs.t06z.pgrb2.0p25.f006\n" ] }, { "data": { "text/plain": [ "PosixPath('/home/blaylock/data/gfs/20240101/subset_33b288d0__gfs.t06z.pgrb2.0p25.f006')" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "H = Herbie(\"2024-01-01 06:00\", model=\"gfs\", fxx=6)\n", "mySubset = H.download(r\":[U|V]GRD:10 m above\", verbose=True)\n", "mySubset" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Downloading the subset was _much_ faster download, and it only takes ~2 MB of space.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Read GRIB into **xarray**\n", "\n", "Herbie uses the [cfgrib](https://github.com/ecmwf/cfgrib) library to read GRIB data into an xarray Dataset. It is important that you know how to subset the files for variables you want so you only read the data you need.\n", "\n", "When loading the data into xarray, Herbie downloads the file temporarily by default, and removes the file when it is loaded into memory. This is the default because I don't want to hog so much diskspace on a users system, and I assume most users will use the xarray capability for quickly looking at data rather than keeping an archive.\n", "\n", "Let's get the 2-m temperature and dew point from the GFS model.\n" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "✅ Found ┊ model=gfs ┊ \u001b[3mproduct=pgrb2.0p25\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jan-01 00:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n" ] }, { "data": { "text/html": [ "
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<xarray.Dataset> Size: 8MB\n",
       "Dimensions:              (latitude: 721, longitude: 1440)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 8B 2024-01-01\n",
       "    step                 timedelta64[ns] 8B 00:00:00\n",
       "    heightAboveGround    float64 8B 2.0\n",
       "  * latitude             (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0\n",
       "  * longitude            (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8\n",
       "    valid_time           datetime64[ns] 8B 2024-01-01\n",
       "    gribfile_projection  object 8B None\n",
       "Data variables:\n",
       "    t2m                  (latitude, longitude) float32 4MB 244.8 244.8 ... 256.5\n",
       "    d2m                  (latitude, longitude) float32 4MB 241.8 241.8 ... 254.0\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             kwbc\n",
       "    GRIB_centreDescription:  US National Weather Service - NCEP\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             US National Weather Service - NCEP\n",
       "    model:                   gfs\n",
       "    product:                 pgrb2.0p25\n",
       "    description:             Global Forecast System\n",
       "    remote_grib:             https://noaa-gfs-bdp-pds.s3.amazonaws.com/gfs.20...\n",
       "    local_grib:              /home/blaylock/data/gfs/20240101/subset_6befcb50...\n",
       "    searchString:            :(?:TMP|DPT):2 m above
" ], "text/plain": [ " Size: 8MB\n", "Dimensions: (latitude: 721, longitude: 1440)\n", "Coordinates:\n", " time datetime64[ns] 8B 2024-01-01\n", " step timedelta64[ns] 8B 00:00:00\n", " heightAboveGround float64 8B 2.0\n", " * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0\n", " * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8\n", " valid_time datetime64[ns] 8B 2024-01-01\n", " gribfile_projection object 8B None\n", "Data variables:\n", " t2m (latitude, longitude) float32 4MB 244.8 244.8 ... 256.5\n", " d2m (latitude, longitude) float32 4MB 241.8 241.8 ... 254.0\n", "Attributes:\n", " GRIB_edition: 2\n", " GRIB_centre: kwbc\n", " GRIB_centreDescription: US National Weather Service - NCEP\n", " GRIB_subCentre: 0\n", " Conventions: CF-1.7\n", " institution: US National Weather Service - NCEP\n", " model: gfs\n", " product: pgrb2.0p25\n", " description: Global Forecast System\n", " remote_grib: https://noaa-gfs-bdp-pds.s3.amazonaws.com/gfs.20...\n", " local_grib: /home/blaylock/data/gfs/20240101/subset_6befcb50...\n", " searchString: :(?:TMP|DPT):2 m above" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "H = Herbie(\"2024-01-01\", model=\"gfs\")\n", "ds = H.xarray(r\":(?:TMP|DPT):2 m above\")\n", "ds" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now you can use all the fancy xarray bells and whitles to do stuff with this data.\n" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ds.t2m.plot(cmap=\"Spectral_r\", figsize=[8, 4])" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Compute the mean dew point for each latitude band\n", "ds.d2m.mean(dim=\"longitude\").plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## ECMWF data\n", "\n", "So far I've shown how to use Herbie to access GFS and HRRR data, but Herbie can discover many different model output files. The ECMWF publishes some open data from the Integrated Forecast System (IFS) publicly. The avaialble inventory for these GRIB files is slightly different than the inventories for the NCEP models.\n", "\n", "- NCEP provides GRIB inventories produced by wgrib2;\n", "- ECMWF provides GRIB inventories produced by eccodes.\n", "\n", "This means the _style_ of search string is going to be a little different when filtering ECMWF model GRIB fields.\n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "✅ Found ┊ model=ifs ┊ \u001b[3mproduct=oper\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Mar-15 18:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ azure-scda\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ azure-scda\u001b[0m\n" ] }, { "data": { "text/html": [ "
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grib_messagestart_byteend_byterangereference_timevalid_timestepparamlevelistlevtypenumberdomainexpverclasstypestreamsearch_this
0104786490-4786492024-03-15 18:00:002024-03-15 18:00:000 daysswvl1NaNsfcNaNg0001odfcscda:swvl1:sfc:g:0001:od:fc:scda
12478649891087478649-8910872024-03-15 18:00:002024-03-15 18:00:000 daysr500plNaNg0001odfcscda:r:500:pl:g:0001:od:fc:scda
238910871405385891087-14053852024-03-15 18:00:002024-03-15 18:00:000 daysgh925plNaNg0001odfcscda:gh:925:pl:g:0001:od:fc:scda
34140538522726651405385-22726652024-03-15 18:00:002024-03-15 18:00:000 days10vNaNsfcNaNg0001odfcscda:10v:sfc:g:0001:od:fc:scda
45227266530216602272665-30216602024-03-15 18:00:002024-03-15 18:00:000 daysv400plNaNg0001odfcscda:v:400:pl:g:0001:od:fc:scda
......................................................
136137103036703104251475103036703-1042514752024-03-15 18:00:002024-03-15 18:00:000 daysvo150plNaNg0001odfcscda:vo:150:pl:g:0001:od:fc:scda
137138104251475105602360104251475-1056023602024-03-15 18:00:002024-03-15 18:00:000 daysd150plNaNg0001odfcscda:d:150:pl:g:0001:od:fc:scda
138139105602360106923274105602360-1069232742024-03-15 18:00:002024-03-15 18:00:000 daysd50plNaNg0001odfcscda:d:50:pl:g:0001:od:fc:scda
139140106923274108049739106923274-1080497392024-03-15 18:00:002024-03-15 18:00:000 daysvo50plNaNg0001odfcscda:vo:50:pl:g:0001:od:fc:scda
140141108049739108169539108049739-1081695392024-03-15 18:00:002024-03-15 18:00:000 daysasnNaNsfcNaNg0001odfcscda:asn:sfc:g:0001:od:fc:scda
\n", "

141 rows × 17 columns

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" ], "text/plain": [ " grib_message start_byte end_byte range \\\n", "0 1 0 478649 0-478649 \n", "1 2 478649 891087 478649-891087 \n", "2 3 891087 1405385 891087-1405385 \n", "3 4 1405385 2272665 1405385-2272665 \n", "4 5 2272665 3021660 2272665-3021660 \n", ".. ... ... ... ... \n", "136 137 103036703 104251475 103036703-104251475 \n", "137 138 104251475 105602360 104251475-105602360 \n", "138 139 105602360 106923274 105602360-106923274 \n", "139 140 106923274 108049739 106923274-108049739 \n", "140 141 108049739 108169539 108049739-108169539 \n", "\n", " reference_time valid_time step param levelist levtype \\\n", "0 2024-03-15 18:00:00 2024-03-15 18:00:00 0 days swvl1 NaN sfc \n", "1 2024-03-15 18:00:00 2024-03-15 18:00:00 0 days r 500 pl \n", "2 2024-03-15 18:00:00 2024-03-15 18:00:00 0 days gh 925 pl \n", "3 2024-03-15 18:00:00 2024-03-15 18:00:00 0 days 10v NaN sfc \n", "4 2024-03-15 18:00:00 2024-03-15 18:00:00 0 days v 400 pl \n", ".. ... ... ... ... ... ... \n", "136 2024-03-15 18:00:00 2024-03-15 18:00:00 0 days vo 150 pl \n", "137 2024-03-15 18:00:00 2024-03-15 18:00:00 0 days d 150 pl \n", "138 2024-03-15 18:00:00 2024-03-15 18:00:00 0 days d 50 pl \n", "139 2024-03-15 18:00:00 2024-03-15 18:00:00 0 days vo 50 pl \n", "140 2024-03-15 18:00:00 2024-03-15 18:00:00 0 days asn NaN sfc \n", "\n", " number domain expver class type stream search_this \n", "0 NaN g 0001 od fc scda :swvl1:sfc:g:0001:od:fc:scda \n", "1 NaN g 0001 od fc scda :r:500:pl:g:0001:od:fc:scda \n", "2 NaN g 0001 od fc scda :gh:925:pl:g:0001:od:fc:scda \n", "3 NaN g 0001 od fc scda :10v:sfc:g:0001:od:fc:scda \n", "4 NaN g 0001 od fc scda :v:400:pl:g:0001:od:fc:scda \n", ".. ... ... ... ... ... ... ... \n", "136 NaN g 0001 od fc scda :vo:150:pl:g:0001:od:fc:scda \n", "137 NaN g 0001 od fc scda :d:150:pl:g:0001:od:fc:scda \n", "138 NaN g 0001 od fc scda :d:50:pl:g:0001:od:fc:scda \n", "139 NaN g 0001 od fc scda :vo:50:pl:g:0001:od:fc:scda \n", "140 NaN g 0001 od fc scda :asn:sfc:g:0001:od:fc:scda \n", "\n", "[141 rows x 17 columns]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "H = Herbie(\"2024-03-15 18:00\", model=\"ifs\")\n", "H.inventory()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's look for all the temperature data at all pressure levels\n" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " grib_message start_byte end_byte range reference_time \\\n", "55 56 32414736 33106090 32414736-33106090 2024-03-15 18:00:00 \n", "64 65 38771272 39437754 38771272-39437754 2024-03-15 18:00:00 \n", "\n", " valid_time step param levelist levtype number domain expver \\\n", "55 2024-03-15 18:00:00 0 days 2d NaN sfc NaN g 0001 \n", "64 2024-03-15 18:00:00 0 days 2t NaN sfc NaN g 0001 \n", "\n", " class type stream search_this \n", "55 od fc scda :2d:sfc:g:0001:od:fc:scda \n", "64 od fc scda :2t:sfc:g:0001:od:fc:scda " ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "H.inventory(r\":2[t|d]\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And here is 10-m U and V wind\n" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " grib_message start_byte end_byte range reference_time \\\n", "3 4 1405385 2272665 1405385-2272665 2024-03-15 18:00:00 \n", "58 59 34714064 35586123 34714064-35586123 2024-03-15 18:00:00 \n", "\n", " valid_time step param levelist levtype number domain expver \\\n", "3 2024-03-15 18:00:00 0 days 10v NaN sfc NaN g 0001 \n", "58 2024-03-15 18:00:00 0 days 10u NaN sfc NaN g 0001 \n", "\n", " class type stream search_this \n", "3 od fc scda :10v:sfc:g:0001:od:fc:scda \n", "58 od fc scda :10u:sfc:g:0001:od:fc:scda " ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "H.inventory(r\":10[u|v]\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Use these same filters when downloading and opening with xarray.\n", "\n", "Sometimes it takes some experientation to find exactly what you are looking for. But keep at it and you'll get the hang of it.\n" ] } ], "metadata": { "kernelspec": { "display_name": "herbie-dev", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.2" } }, "nbformat": 4, "nbformat_minor": 2 }