""" PointStat: Hurricane Matthew I-WRF ================================== model_applications/tc_and_extra_tc/PointStat_fcstWRF_obsMADIS_hurricane_matthew.conf """ ############################################################################## # .. contents:: # :depth: 1 # :local: # :backlinks: none ############################################################################## # Scientific Objective # -------------------- # # Perform verification of WRF data generated over Hurricane Matthew from 2016 # using MADIS RAOB and METAR observations. # This use case was created originally to serve the needs of the NSF-funded # I-WRF project (https://i-wrf.org). # The goal of I-WRF is to create a series of connected software containers to # enable multi-node WRF simulations, verification with METplus, and # visualization that can run on a range of platforms # (HPC, cloud environments, and laptops), in order to lower the bar for # researchers and students to tackle interesting scientific questions with # WRF and METplus. # This Hurricane Matthew use case borrows the inputs and configuration from the # first simulation in the WRF Online Tutorial, and both the WRF and METplus # configurations here were designed to provide a simple, initial demo case for # a small domain that would run quickly and confirm for users that the # containers are working as expected. # The I-WRF project provided the funding to add the capability of METplus to # read in native WRF output files directly, in order to avoid the extra # complicating step of running WRF output through UPP to generate grib files. ############################################################################## # Version Added # ------------- # # METplus version 6.1 ############################################################################## # Datasets # -------- # # **Forecast:** WRF, temperature and wind # # **Observation:** MADIS RAOB and METAR # # **Climatology:** None # # **Location:** All of the input data required for this use case can be # found in a sample data tarball. Each use case category will have # one or more sample data tarballs. It is only necessary to download # the tarball with the use case’s dataset and not the entire collection # of sample data. Click here to access the METplus releases page and download sample data # for the appropriate release: https://github.com/dtcenter/METplus/releases # This tarball should be unpacked into the directory that you will # set the value of INPUT_BASE. See :ref:`running-metplus` section for more information. ############################################################################## # METplus Components # ------------------ # # This use case calls 2 instances of MADIS2NC to convert the RAOB and METAR # observations to NetCDF. # Then 2 instances of PointStat are called to process surface and # upper air fields. # Next, UserScript is used to call a python script to plot the WRF data. # Finally, another UserScript instance calls a METdataio script to reformat # the PointStat output and a METplotpy script to produce a line plot. ############################################################################## # METplus Workflow # ---------------- # # **Beginning time (INIT_BEG):** 2016-10-06 00Z # # **End time (INIT_END):** 2016-10-06 00Z # # **Increment between beginning and end times (INIT_INCREMENT):** 6 hours # # **Sequence of forecast leads to process (LEAD_SEQ):** 0, 3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42, 45, 48 # # The MADIS2NC instances process every forecast lead from 0-48. # The RAOB MADIS2NC instance has missing data for a few of the leads, # so a missing data threshold of 87.5% is set to prevent errors. # The surface instance of PointStat allows a +/- 30 minute window for observations and # includes files from the previous hour. # The upper air instance of PointStat allows +/- 90 minute window for observations and # includes files from +/- 2 hours around the valid time. ############################################################################## # METplus Configuration # --------------------- # # METplus first loads all of the configuration files found in parm/metplus_config, # then it loads any configuration files passed to METplus via the command line: # parm/use_cases/model_applications/tc_and_extra_tc/PointStat_fcstWRF_obsMADIS_hurricane_matthew.conf # # .. highlight:: bash # .. literalinclude:: ../../../../parm/use_cases/model_applications/tc_and_extra_tc/PointStat_fcstWRF_obsMADIS_hurricane_matthew.conf ############################################################################## # MET Configuration # ----------------- # # METplus sets environment variables based on user settings in the METplus # configuration file. See :ref:`How METplus controls MET config file settings` for more details. # # **YOU SHOULD NOT SET ANY OF THESE ENVIRONMENT VARIABLES YOURSELF! THEY WILL BE OVERWRITTEN BY METPLUS WHEN IT CALLS THE MET TOOLS!** # # If there is a setting in the MET configuration file that is currently # not supported by METplus you’d like to control, please refer to: # :ref:`Overriding Unsupported MET config file settings` # # .. dropdown:: PointStatConfig_wrapped # # .. literalinclude:: ../../../../parm/met_config/PointStatConfig_wrapped ############################################################################## # Python Embedding # ---------------- # # This use case does not use Python Embedding. ############################################################################## # User Scripting # -------------- # # This use case calls files from METdataio and METcalcpy to generate a line # plot of the point_stat output. # It also calls a Python script to perform plotting of WRF data. # # .. dropdown:: parm/use_cases/model_applications/tc_and_extra_tc/PointStat_fcstWRF_obsMADIS_hurricane_matthew/plot_wrf.py # # .. highlight:: python # .. literalinclude:: ../../../../parm/use_cases/model_applications/tc_and_extra_tc/PointStat_fcstWRF_obsMADIS_hurricane_matthew/plot_wrf.py ############################################################################## # Running METplus # --------------- # # Pass the use case configuration file to the run_metplus.py script along # with any user-specific system configuration files if desired:: # # run_metplus.py /path/to/METplus/parm/use_cases/model_applications/tc_and_extra_tc/PointStat_fcstWRF_obsMADIS_hurricane_matthew.conf /path/to/user_system.conf # # See :ref:`running-metplus` for more information. ############################################################################## # Expected Output # --------------- # # A successful run will output the following both to the screen and to the logfile:: # # INFO: METplus has successfully finished running. # # Refer to the value set for **OUTPUT_BASE** to find where the output data was generated. # Output for this use case will be found in {OUTPUT_BASE} # and will contain the following files: # # * met_plot/cnt_reformatted.data # * met_plot/line_T2_RMSE_BCMSE.png # * point_stat/point_stat_surface_000000L_20161006_000000V.stat # * point_stat/point_stat_surface_000000L_20161006_000000V_cnt.txt # * point_stat/point_stat_surface_000000L_20161006_000000V_vcnt.txt # * point_stat/point_stat_surface_030000L_20161006_030000V.stat # * point_stat/point_stat_surface_030000L_20161006_030000V_cnt.txt # * point_stat/point_stat_surface_030000L_20161006_030000V_vcnt.txt # * point_stat/point_stat_surface_060000L_20161006_060000V.stat # * point_stat/point_stat_surface_060000L_20161006_060000V_cnt.txt # * point_stat/point_stat_surface_060000L_20161006_060000V_vcnt.txt # * point_stat/point_stat_surface_090000L_20161006_090000V.stat # * point_stat/point_stat_surface_090000L_20161006_090000V_cnt.txt # * point_stat/point_stat_surface_090000L_20161006_090000V_vcnt.txt # * point_stat/point_stat_surface_120000L_20161006_120000V.stat # * point_stat/point_stat_surface_120000L_20161006_120000V_cnt.txt # * point_stat/point_stat_surface_120000L_20161006_120000V_vcnt.txt # * point_stat/point_stat_surface_150000L_20161006_150000V.stat # * point_stat/point_stat_surface_150000L_20161006_150000V_cnt.txt # * point_stat/point_stat_surface_150000L_20161006_150000V_vcnt.txt # * point_stat/point_stat_surface_180000L_20161006_180000V.stat # * point_stat/point_stat_surface_180000L_20161006_180000V_cnt.txt # * point_stat/point_stat_surface_180000L_20161006_180000V_vcnt.txt # * point_stat/point_stat_surface_210000L_20161006_210000V.stat # * point_stat/point_stat_surface_210000L_20161006_210000V_cnt.txt # * point_stat/point_stat_surface_210000L_20161006_210000V_vcnt.txt # * point_stat/point_stat_surface_240000L_20161007_000000V.stat # * point_stat/point_stat_surface_240000L_20161007_000000V_cnt.txt # * point_stat/point_stat_surface_240000L_20161007_000000V_vcnt.txt # * point_stat/point_stat_surface_270000L_20161007_030000V.stat # * point_stat/point_stat_surface_270000L_20161007_030000V_cnt.txt # * point_stat/point_stat_surface_270000L_20161007_030000V_vcnt.txt # * point_stat/point_stat_surface_300000L_20161007_060000V.stat # * point_stat/point_stat_surface_300000L_20161007_060000V_cnt.txt # * point_stat/point_stat_surface_300000L_20161007_060000V_vcnt.txt # * point_stat/point_stat_surface_330000L_20161007_090000V.stat # * point_stat/point_stat_surface_330000L_20161007_090000V_cnt.txt # * point_stat/point_stat_surface_330000L_20161007_090000V_vcnt.txt # * point_stat/point_stat_surface_360000L_20161007_120000V.stat # * point_stat/point_stat_surface_360000L_20161007_120000V_cnt.txt # * point_stat/point_stat_surface_360000L_20161007_120000V_vcnt.txt # * point_stat/point_stat_surface_390000L_20161007_150000V.stat # * point_stat/point_stat_surface_390000L_20161007_150000V_cnt.txt # * point_stat/point_stat_surface_390000L_20161007_150000V_vcnt.txt # * point_stat/point_stat_surface_420000L_20161007_180000V.stat # * point_stat/point_stat_surface_420000L_20161007_180000V_cnt.txt # * point_stat/point_stat_surface_420000L_20161007_180000V_vcnt.txt # * point_stat/point_stat_surface_450000L_20161007_210000V.stat # * point_stat/point_stat_surface_450000L_20161007_210000V_cnt.txt # * point_stat/point_stat_surface_450000L_20161007_210000V_vcnt.txt # * point_stat/point_stat_surface_480000L_20161008_000000V.stat # * point_stat/point_stat_surface_480000L_20161008_000000V_cnt.txt # * point_stat/point_stat_surface_480000L_20161008_000000V_vcnt.txt # * point_stat/point_stat_upper_air_000000L_20161006_000000V.stat # * point_stat/point_stat_upper_air_000000L_20161006_000000V_cnt.txt # * point_stat/point_stat_upper_air_000000L_20161006_000000V_vcnt.txt # * point_stat/point_stat_upper_air_030000L_20161006_030000V.stat # * point_stat/point_stat_upper_air_030000L_20161006_030000V_cnt.txt # * point_stat/point_stat_upper_air_030000L_20161006_030000V_vcnt.txt # * point_stat/point_stat_upper_air_060000L_20161006_060000V.stat # * point_stat/point_stat_upper_air_060000L_20161006_060000V_cnt.txt # * point_stat/point_stat_upper_air_060000L_20161006_060000V_vcnt.txt # * point_stat/point_stat_upper_air_090000L_20161006_090000V.stat # * point_stat/point_stat_upper_air_090000L_20161006_090000V_cnt.txt # * point_stat/point_stat_upper_air_090000L_20161006_090000V_vcnt.txt # * point_stat/point_stat_upper_air_120000L_20161006_120000V.stat # * point_stat/point_stat_upper_air_120000L_20161006_120000V_cnt.txt # * point_stat/point_stat_upper_air_120000L_20161006_120000V_vcnt.txt # * point_stat/point_stat_upper_air_150000L_20161006_150000V.stat # * point_stat/point_stat_upper_air_150000L_20161006_150000V_cnt.txt # * point_stat/point_stat_upper_air_150000L_20161006_150000V_vcnt.txt # * point_stat/point_stat_upper_air_180000L_20161006_180000V.stat # * point_stat/point_stat_upper_air_180000L_20161006_180000V_cnt.txt # * point_stat/point_stat_upper_air_180000L_20161006_180000V_vcnt.txt # * point_stat/point_stat_upper_air_210000L_20161006_210000V.stat # * point_stat/point_stat_upper_air_210000L_20161006_210000V_cnt.txt # * point_stat/point_stat_upper_air_210000L_20161006_210000V_vcnt.txt # * point_stat/point_stat_upper_air_240000L_20161007_000000V.stat # * point_stat/point_stat_upper_air_240000L_20161007_000000V_cnt.txt # * point_stat/point_stat_upper_air_240000L_20161007_000000V_vcnt.txt # * point_stat/point_stat_upper_air_270000L_20161007_030000V.stat # * point_stat/point_stat_upper_air_270000L_20161007_030000V_cnt.txt # * point_stat/point_stat_upper_air_270000L_20161007_030000V_vcnt.txt # * point_stat/point_stat_upper_air_300000L_20161007_060000V.stat # * point_stat/point_stat_upper_air_300000L_20161007_060000V_cnt.txt # * point_stat/point_stat_upper_air_300000L_20161007_060000V_vcnt.txt # * point_stat/point_stat_upper_air_330000L_20161007_090000V.stat # * point_stat/point_stat_upper_air_330000L_20161007_090000V_cnt.txt # * point_stat/point_stat_upper_air_330000L_20161007_090000V_vcnt.txt # * point_stat/point_stat_upper_air_360000L_20161007_120000V.stat # * point_stat/point_stat_upper_air_360000L_20161007_120000V_cnt.txt # * point_stat/point_stat_upper_air_360000L_20161007_120000V_vcnt.txt # * point_stat/point_stat_upper_air_390000L_20161007_150000V.stat # * point_stat/point_stat_upper_air_390000L_20161007_150000V_cnt.txt # * point_stat/point_stat_upper_air_390000L_20161007_150000V_vcnt.txt # * point_stat/point_stat_upper_air_420000L_20161007_180000V.stat # * point_stat/point_stat_upper_air_420000L_20161007_180000V_cnt.txt # * point_stat/point_stat_upper_air_420000L_20161007_180000V_vcnt.txt # * point_stat/point_stat_upper_air_450000L_20161007_210000V.stat # * point_stat/point_stat_upper_air_450000L_20161007_210000V_cnt.txt # * point_stat/point_stat_upper_air_450000L_20161007_210000V_vcnt.txt # * point_stat/point_stat_upper_air_480000L_20161008_000000V.stat # * point_stat/point_stat_upper_air_480000L_20161008_000000V_cnt.txt # * point_stat/point_stat_upper_air_480000L_20161008_000000V_vcnt.txt # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161006_0300.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161006_0600.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161006_0900.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161006_1200.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161006_1500.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161006_1800.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161006_2100.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161007_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161007_0300.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161007_0600.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161007_0900.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161007_1200.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161007_1500.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161007_1800.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161007_2100.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RAIN+barbs_20161008_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161006_0300.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161006_0600.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161006_0900.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161006_1200.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161006_1500.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161006_1800.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161006_2100.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161007_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161007_0300.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161007_0600.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161007_0900.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161007_1200.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161007_1500.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161007_1800.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161007_2100.png # * wrf_plot/20161006_00/plots/map_wrf_d01_REFL+barbs_20161008_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161006_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161006_0300.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161006_0600.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161006_0900.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161006_1200.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161006_1500.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161006_1800.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161006_2100.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161007_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161007_0300.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161007_0600.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161007_0900.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161007_1200.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161007_1500.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161007_1800.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161007_2100.png # * wrf_plot/20161006_00/plots/map_wrf_d01_RH2+barbs_20161008_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161006_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161006_0300.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161006_0600.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161006_0900.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161006_1200.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161006_1500.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161006_1800.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161006_2100.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161007_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161007_0300.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161007_0600.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161007_0900.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161007_1200.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161007_1500.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161007_1800.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161007_2100.png # * wrf_plot/20161006_00/plots/map_wrf_d01_SLP+barbs_20161008_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161006_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161006_0300.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161006_0600.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161006_0900.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161006_1200.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161006_1500.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161006_1800.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161006_2100.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161007_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161007_0300.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161007_0600.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161007_0900.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161007_1200.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161007_1500.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161007_1800.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161007_2100.png # * wrf_plot/20161006_00/plots/map_wrf_d01_T2+barbs_20161008_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_TERRAIN.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161006_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161006_0300.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161006_0600.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161006_0900.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161006_1200.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161006_1500.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161006_1800.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161006_2100.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161007_0000.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161007_0300.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161007_0600.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161007_0900.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161007_1200.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161007_1500.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161007_1800.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161007_2100.png # * wrf_plot/20161006_00/plots/map_wrf_d01_WS10+barbs_20161008_0000.png # ############################################################################## # Keywords # -------- # # .. note:: # # * TCandExtraTCAppUseCase # * PointStatToolUseCase # * METplotpyUseCase # * UserScriptUseCase # * WRFFileUseCase # * MADIS2NCToolUseCase # * GRIB2FileUseCase # * MADISFileUseCase # # Navigate to the :ref:`quick-search` page to discover other similar use cases. # # # # sphinx_gallery_thumbnail_path = '_static/tc_and_extra_tc-PointStat_fcstWRF_obsMADIS_hurricane_matthew.png'