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9 results for “meso-scale”

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zenodo48/100

Dataset for: Statistical properties of meso-scale plasma flows in the nightside high-latitude ionosphere

This dataset is a compilation of statistical results from Gabrielse et al. [2018] (<a href="https://doi.org/10.1029/2018JA025440">https://doi.org/10.1029/2018JA025440</a>). If you would like to use the dataset, please contact Christine Gabrielse (cgabrielse@ucla.edu, cgabrielse@gmail.com). Depending on how the results are used, the main authors request co-authorship on publications.  The following list describes the columns in each data file labeled, ***_FLOW-DATA-PCvsAO_YYYY.txt  Files named  ***_FLOW-DATA-PCvsAO_YYYY_poleward.txt are for poleward-directed flows.  Each text file is for a different year (YYYY).  AO=auroral oval PC=polar cap       time [YYYYMMDDhhmmss]       flagAO [-1=flow could not be observed. 0=flow could be observed, but was not. 1=flow was observed]       flagPC [-1=flow could not be observed. 0=flow could be observed, but was not. 1=flow was observed]       FWHMavg_AO [degrees]       FWHMkmavg_AO=[km]       longtestranges=[ignore]       Velmaxavg_AO=[m/s, actual average of max V in each range gate used]       VelmaxFITavg_AO=[m/s, determined from the Gaussian fits]       FWHMavg_PC=[degrees]       FWHMkmavg_PC=[km]       Velmaxavg_PC=[m/s, actual average of max V in each range gate used]       VelmaxFITavg_PC=[m/s, determined from the Gaussian fits] ;;For the bearings/orientation, see the orientation text files. The following four variables were calculated in a first step but are not ;;those used in the paper. They were not found with the strict selection criteria. Please do not use.       mbearingAO=[degrees in magnetic coordinates, a negative value is South of East (clockwise from East), a positive value is North of East (CC)]       mbearingPC=[degrees in magnetic coordinates, a negative value is South of East (clockwise from East), a positive value is North of East (CC)]          gbearingAO=[degrees in geographic coordinates, a negative value is South of East (clockwise from East), a positive value is North of East (CC)]       gbearingPC=[degrees in geographic coordinates, a negative value is South of East (clockwise from East), a positive value is North of East (CC)] ;;;;;;;;;;;;;;;       minlatAO=[degrees, min geographic latitude of the flow]       maxlatAO=[degrees, max geographic latitude of the flow]       minlatPC=[degrees, min geographic latitude of the flow]       maxlatPC=[degrees, max geographic latitude of the flow]       mltAO=[degrees (MLT)]       mltPC=[degrees (MLT)]       AE=[nT]       AL=[nT]       SYMH=[nT]       IMFBz=[nT]       IMFBy=[nT]       F107=[sfu] The following list describes the columns in each data file labeled, ***_orientation_YYYY.txt  Files named  ***_orientation_YYYY_poleward.txt are for poleward-directed flows.  Each text file is for a different year (YYYY).  The orientation was determined when enough bearings between RGs were available. See Gabrielse et al. [2018] for description.  https://doi.org/10.1029/2018JA025440  AO=auroral oval PC=polar cap       time [YYYYMMDDhhmmss]       mbearingAO [degrees clockwise from magnetic North]       gbearingAO [degrees clockwise from geographic North]       mbearingPC [degrees clockwise from magnetic North]       gbearingPC [degrees clockwise from geographic North] The following list describes the columns in each data file labeled, ***_SPEC_TEST_***_noRG1-2.txt       time [YYYYMMDDhhmmss]       RG [the range gate number at which the polar cap boundary was determined at RNK, or the auroral oval's equatorial boundary at SAS]

opencc-by-4.0Nov 2018View details →

zenodo44/100

Database of Nightside, High-latitude Ionosphere Meso-scale Flow Characteristics

This database is a compilation of nightside, high-latitude ionosphere meso-scale flow characteristics built on those used in Gabrielse et al. [2018] (<a href="https://doi.org/10.1029/2018JA025440">https://doi.org/10.1029/2018JA025440</a>). It is the most complete version. If you would like to use the database, please contact Christine Gabrielse (cgabrielse@ucla.edu, cgabrielse@gmail.com, and/or christine.gabrielse@aero.org). Depending on how the results are used, the main authors request co-authorship on publications that utilize this database.  The methodology and selection criteria can be found in Gabrielse et al. [2018] (<a href="https://doi.org/10.1029/2018JA025440">https://doi.org/10.1029/2018JA025440</a>).  The following list describes the columns in each data file labeled, ***_FLOW-DATA-PCvsAO_YYYY.txt  The first three letters (RNK or SAS) designate the station used (Rankin Inlet or Saskatoon). Files named  ***_FLOW-DATA-PCvsAO_poleward_YYYY.txt are for poleward-directed flows.  Each text file is for a different year (YYYY).  AO=Auroral Oval for Rankin Inlet; equatorward of the auroral oval for Saskatoon (not used) PC=Polar Cap for Rankin Inlet; Auroral Oval for Saskatoon (Note: the data files for RNK and SAS have the same format, so the PC designator means flows above the pertinent boundary (polar cap boundary for RNK, auroral oval equatorward boundary at SAS) and the AO designator means flows below the pertinent boundary.)       time [YYYYMMDDhhmmss]       flagAO [-1=flow could not be observed. 0=flow could be observed, but was not. 1=flow was observed]       flagPC [-1=flow could not be observed. 0=flow could be observed, but was not. 1=flow was observed]       FWHMavg_AO [degrees]       FWHMkmavg_AO=[km]       longtestranges=[ignore]       Velmaxavg_AO=[m/s, actual average of max V in each range gate used]       VelmaxFITavg_AO=[m/s, determined from the Gaussian fits]       FWHMavg_PC=[degrees]       FWHMkmavg_PC=[km]       Velmaxavg_PC=[m/s, actual average of max V in each range gate used]       VelmaxFITavg_PC=[m/s, determined from the Gaussian fits] ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; For the bearings/orientation, see the orientation text files. The following four variables were calculated in a first step but are not those used in the paper. They were not found with the strict selection criteria. **Please do not use.**       mbearingAO=[degrees in magnetic coordinates, a negative value is South of East (clockwise from East), a positive value is North of East (CC)]       mbearingPC=[degrees in magnetic coordinates, a negative value is South of East (clockwise from East), a positive value is North of East (CC)]          gbearingAO=[degrees in geographic coordinates, a negative value is South of East (clockwise from East), a positive value is North of East (CC)]       gbearingPC=[degrees in geographic coordinates, a negative value is South of East (clockwise from East), a positive value is North of East (CC)] ;;;;;;;;;;;;;;;       minlatAO=[degrees, min geographic latitude of the flow]       maxlatAO=[degrees, max geographic latitude of the flow]       minlatPC=[degrees, min geographic latitude of the flow]       maxlatPC=[degrees, max geographic latitude of the flow]       mltAO=[degrees (MLT)]       mltPC=[degrees (MLT)]       AE=[nT]       AL=[nT]       SYMH=[nT]       IMFBy=[nT]       IMFBz=[nT]             F107=[sfu] The following list describes the columns in each data file labeled, ***_orientation_YYYY.txt  Files named  ***_orientation_poleward_YYYY.txt are for poleward-directed flows.  Each text file is for a different year (YYYY).  The orientation was determined when enough bearings between RGs were available. See Gabrielse et al. [2018] for description.  https://doi.org/10.1029/2018JA025440  AO=auroral oval PC=polar cap       time [YYYYMMDDhhmmss]       mbearingAO [degrees clockwise from magnetic North]       gbearingAO [degrees clockwise from geographic North]       mbearingPC [degrees clockwise from magnetic North]       gbearingPC [degrees clockwise from geographic North] The following list describes the columns in each data file labeled, ***_SPEC_TEST_***_noRG1-2.txt       time [YYYYMMDDhhmmss]       RG [the range gate number at which the polar cap boundary was determined at RNK, or the auroral oval's equatorial boundary at SAS]

opencc-by-4.0Jan 2019View details →

zenodo40/100

Datasets from "Auroral Energy Deposition and Conductance During the 2013 St. Patrick's Day Storm: Meso-Scale Contributions" by Gabrielse et al.

1. README File for netCDF Data to be published alongside “Mesoscale Contributions to Auroral Energy Deposition and Conductance During the 2013 St. Patrick’s Day Storm” by Christine Gabrielse et al. in the Journal of Geophysical Research. The data to be stored on Zenodo (<a href="https://zenodo.org/">https://zenodo.org/</a>) are in a netCDF format. This README applies to the following files:    thg_ej_all-sky-imager_20130317050000_v01.nc    thg_ej_all-sky-imager_20130317060000_v01.nc    thg_ej_all-sky-imager_20130317070000_v01.nc    thg_ej_all-sky-imager_20130317080000_v01.nc    thg_ej_all-sky-imager_20130317090000_v01.nc    thg_ej_all-sky-imager_20130317100000_v01.nc    thg_ej_all-sky-imager_20130317110000_v01.nc    thg_ej_all-sky-imager_20130317120000_v01.nc    thg_ej_all-sky-imager_20130317130000_v01.nc   The following are attributes published within the netCDF’s metadata: SUMMARY: FILENAME:    thg_ej_all-sky-imager_20130317050000_v01.nc   PROJECT:    STP>Solar-Terrestrial Physics   SOURCE_NAME:    THG>THEMIS (Time History of Events and Macroscale Interactions during    Substorms) Ground-Based   DISCIPLINE:    Space Physics>Ionospheric Science    Space Physics>Magnetospheric Science   DATA_TYPE:    EJ>Earth Camera Images, processed   DESCRIPTOR:    All-Sky-Imager   FILE_NAMING_CONVENTION:    source_datatype_descriptor_yyyyMMddHHmmss   DATA_VERSION:    01   PI_NAME:    Christine Gabrielse   PI_AFFILIATION:    The Aerospace Corporation   TEXT:    Parameters (energy flux, mean energy, Hall conductance) derived from the THEMIS    white light all-sky-imagers. See Gabrielse et al. (2021, Frontiers) and    Gabrielse et al. (2024, JGR) for derivation methodology.   INSTRUMENT_TYPE:    Ground-Based Imagers   MISSION_GROUP:    Ground-Based Investigations   LOGICAL_SOURCE:    thg_ej_all-sky-imager   LOGICAL_FILE_ID:    thg_ej_all-sky-imager_00000000000000_v01   LOGICAL_SOURCE_DESCRIPTION:    Parameters (energy flux, mean energy, Hall conductance) derived from the THEMIS    white light all-sky-imagers.   TIME_RESOLUTION:    3s   RULES_OF_USE:    Invitation to co-authorship for use of this data is required. It is best to    reach out to Dr. Gabrielse early in the project for guidance.   GENERATED_BY:    Christine Gabrielse   ACKNOWLEDGEMENT:    The work effort for this project was gratefully funded by NASA grants    80NSSC20K0725, 80GSFC22CA011, NAS5-02099, 80NSSC21K1552, AFOSR Grant    FA9559-16-1-0364   GLOBAL ATTRIBUTES: PROJECT:    STP>Solar-Terrestrial Physics SOURCE_NAME:    THG>THEMIS (Time History of Events and Macroscale Interactions during    Substorms) Ground-Based DISCIPLINE:    Space Physics>Ionospheric Science    Space Physics>Magnetospheric Science DATA_TYPE:    EJ>Earth Camera Images, processed DESCRIPTOR:    All-Sky-Imager FILE_NAMING_CONVENTION:    source_datatype_descriptor_yyyyMMddHHmmss DATA_VERSION:    01 PI_NAME:    Christine Gabrielse PI_AFFILIATION:    The Aerospace Corporation TEXT:    Parameters (energy flux, mean energy, Hall conductance) derived from the THEMIS    white light all-sky-imagers. See Gabrielse et al. (2021, Frontiers) and    Gabrielse et al. (2024, JGR) for derivation methodology. INSTRUMENT_TYPE:    Ground-Based Imagers MISSION_GROUP:    Ground-Based Investigations LOGICAL_SOURCE:    thg_ej_all-sky-imager LOGICAL_FILE_ID:    thg_ej_all-sky-imager_00000000000000_v01 LOGICAL_SOURCE_DESCRIPTION:    Parameters (energy flux, mean energy, Hall conductance) derived from the THEMIS    white light all-sky-imagers. TIME_RESOLUTION:    3s RULES_OF_USE:    Invitation to co-authorship for use of this data is required. It is best to    reach out to Dr. Gabrielse early in the project for guidance. GENERATED_BY:    Christine Gabrielse ACKNOWLEDGEMENT:    The work effort for this project was gratefully funded by NASA grants    80NSSC20K0725, 80GSFC22CA011, NAS5-02099, 80NSSC21K1552, AFOSR Grant    FA9559-16-1-0364   DIMENSIONS: EPOCH:    1200 LATITUDE:    400 LONGITUDE:    400   VARIABLES: EPOCH: CAT_DESC:    Time in seconds since 1970-01-01 00:00:00 TIME_SCALE:    UTC TIME_BASE:    1970 (POSIX) FIELDNAM:    Time in seconds since 1970-01-01 00:00:00 FILLVAL:    LONG = -2147483648 FORMAT:    I10 UNITS:    S VALIDMIN:    LONG = 1363496400 VALIDMAX:    LONG = 1363528800 VAR_TYPE:    support_data LATITUDE: _FILLVALUE:    FLOAT = NaN CAT_DESC:    Geodetic latitude FIELDNAM:    Latitude FORMAT:    F4.1 FILLVAL:    DOUBLE = -1.0000000e+31 UNITS:    deg VALIDMIN:    DOUBLE = 45.000000 VALIDMAX:    DOUBLE = 84.900000 VAR_TYPE:    support_data LONGITUDE: _FILLVALUE:    FLOAT = NaN CAT_DESC:    Geodetic longitude FIELDNAM:    Longitude FORMAT:    F5.1 FILLVAL:    DOUBLE = -1.0000000e+31 UNITS:    Deg VALIDMIN:    DOUBLE = 180.00000 VALIDMAX:    DOUBLE = 339.60000 VAR_TYPE:    support_data CONDUCTANCE: _FILLVALUE:    DOUBLE = NaN CAT_DESC:    Hall conductance in a 2D grid organized by geographic latitude and longitude,    units of mho DEPEND_0:    Epoch DEPEND_1:    Latitude DEPEND_2:    Longitude DISPLAY_TYPE`:    Image FIELDNAM:    Hall conductance FILLVAL:    DOUBLE = -1.0000000e+31 FORMAT:    F8.6 LABLAXIS:    Hall conductance UNITS:    Mho VALIDMIN:    DOUBLE = 0.00043800000 VALIDMAX:    DOUBLE = 88.000000 VAR_TYPE:    Data Energy flux: _FILLVALUE:    FLOAT = NaN CAT_DESC:    Precipitated energy flux in a 2D grid organized by geographic latitude and    longitude, units of ergs/cm^2/s DEPEND_0:    Epoch DEPEND_1:    Latitude DEPEND_2:    Longitude DISPLAY_TYPE`:    Image FIELDNAM:    Energy Flux (ergs/cm^2/s) FILLVAL:    DOUBLE = -1.0000000e+31 FORMAT:    F9.4 LABLAXIS:    energy flux UNITS:    ergs/cm^2/s VALIDMIN:    DOUBLE = 0.010000000 VALIDMAX:    DOUBLE = 1100.0000 VAR_TYPE:    Data ENERGY: _FILLVALUE:    FLOAT = NaN CAT_DESC:    Mean energy of the precipitated population in a 2D grid organized by geographic    latitude and longitude, units of keV DEPEND_0:    Epoch DEPEND_1:    Latitude DEPEND_2:    Longitude DISPLAY_TYPE`:    Image FIELDNAM:    Energy (keV) FILLVAL:    DOUBLE = -1.0000000e+31 FORMAT:    F6.3 LABLAXIS:    Energy UNITS:    keV VALIDMIN:    DOUBLE = 0.010000000 VALIDMAX:    DOUBLE = 22.000000 VAR_TYPE:    Data   Examples of the data are as follows: EPOCH: data.epoch.data[0] =   1363496400   This data is presented as number of seconds since January 1, 1970 in UT. The example above converts to 2013-03-17/05:00 UT. There are 1200 time values stored in each file.   LATITUDE: data.latitude.data[0] = 45.0000   This data is the geographic latitude in degrees of the 400x400 grid of data points. There are 400 latitude values stored in each file.   LONGITUDE: data.LONGITUDE.data[0] =  180.000   This data is the geographic longitude in degrees of the 400x400 grid of data points. There are 400 longitude values stored in each file.   CONDUCTANCE: data.conductance.data[0] = -1.0000000e+31   This data is the Hall conductance in mho measured at 45 deg latitude, 180 deg longitude. The value in this example indicates that no conductance was measured here. A valid value would be something in the range of 0.00043800000 to 88 mho. There are 1200x400x400 conductance values stored in each file.   ENERGY FLUX: data.eflux.data[0] = -1.00000e+31   This data is the energy flux in ergs/cm^2/s measured at 45 deg latitude, 180 deg longitude. The value in this example indicates that no energy flux was measured here. A valid value would be something in the range of 0.01 to 1100.0000 ergs/cm^2/s. There are 1200x400x400 energy flux values stored in each file.   ENERGY: data.energy.data[0] = -1.00000e+31   This data is the energy in keV measured at 45 deg latitude, 180 deg longitude. The value in this example indicates that no energy was measured here. A valid value would be something in the range of 0.01 to 22 keV. There are 1200x400x400 energy values stored in each file.   2. README for text file Data to be published alongside “Mesoscale Contributions to Auroral Energy Deposition and Conductance During the 2013 St. Patrick’s Day Storm” by Christine Gabrielse et al. in the Journal of Geophysical Research. This README applies to the following files:    march172013_fortyukon_photometer_products.dat    march172013_pokerflat_photometer_products.dat Header information in the files describe the contents.  These are the photometer derived data taken on March 17, 2023. They include the time [UT], energy flux (Q) [ergs/cm^2/s], average energy (Eavg) [keV], and oxygen scale factor (fo).

opencc-by-4.0Oct 2024View details →

zenodo36/100

Meso-scale patterns of shallow convection in the trades: supplemental material

Supplemental material to the dissertation: Meso-scale patterns of shallow convection in the trades <ol> <li>ICON_EUREC4A_LES.mov Animation of actual (GOES-16 ABI) and synthetic satellite images for the simulated period. GOES-16 ABI; ICON 624m; ICON 312m (from left to right)  </li> </ol>

opencc-by-4.0Oct 2021View details →

dryad32/100

Island biogeography at the meso-scale: distance from forest edge affects choice of patch size by ovipositing treefrogs

Diversity in habitat patches is partly driven by variation in patch size, which affects extinction, and isolation, which affects immigration. Patch size also affects immigration as a component of patch quality. In wetland ecosystems, where variation in patch size and inter-patch distance is ubiquitous, relationships between size and isolation may involve trade-offs. We assayed treefrog oviposition at three patch sizes in arrays of two types, one where size increased with distance from forest (dispersed), and one with all patches equidistant from forest (equidistant), testing directly for an interaction between patch size and distance, which was highly significant. Medium patches in dispersed arrays received more eggs than those in equidistant arrays as use of typically preferred larger patches was reduced in dispersed arrays. Our results demonstrate a habitat selection trade-off between preferred large and less-preferred medium patches across small-scale variation in isolation. Such patch size/isolation relationships are critical to community assembly and to understanding how diversity is maintained within a metapopulation and metacommunity framework, especially as wetland habitat becomes increasingly rare and fragmented. These results bring lessons of Island Biogeography, writ large, to bear on questions at small scales where ecologists often work, and where habitat restoration is most often focused.

opencc-zeroMay 2022View details →

zenodo32/100

Obtaining Continental-Scale, High-Resolution 2-d Ionospheric Flows and Application to Meso-Scale Flow Science

The SuperDARN 2-d velocity vectors using the spherical elementary current systems (SECS) technique. The file names show UT. Each file contains magnetic latitude and longitude, geographic latitude and longitude, northward and eastward velocity in magnetic, northward and eastward velocity in geographic, and the number of echoes in each grid. AACGM is used as the magnetic coordinates.

opencc-by-4.0May 2024View details →

zenodo32/100

Codes, data and figures for "A hidden link between the Walker circulation and meso-scale heavy rainfall over the eastern Pacific"

<h4>README</h4> <h4>System requirments</h4> <ul> <li>IDL (v8.9)</li> </ul> <h4>Instruction for use</h4> Linux) run IDL  (ex. type idl) idl> .r [code_name].pro  Window) 1. set the directory containing code as current working directory    CD, 'absolute adress of code directory' 2. run the code (hot key is F8)    .r [code_name].pro

opencc-by-4.0Jul 2024View details →

dryad32/100

Island biogeography at the meso-scale: distance from forest edge affects choice of patch size by ovipositing treefrogs

Open the record for dataset details and reuse information.

publicMay 2022View details →

zenodo16/100

Codes for A hidden connection of meso-scale convective rainfall and large-scale circulations over the eastern Pacific

<h4>README</h4><h4>System requirments</h4><ul><li>Figure 1, ED_Figure_1, and ED_FIGURE_3:  IDL (v8.5) on Linux OS</li><li>Figure 3, Figure 4, ED_Figure_4, and ED_FIGURE_5: Python (v3.7.3) on Linux OS</li><li>Figure 2 and ED_Figure_2: Sigmaplot (v10.0)</li></ul><h4>Installation guide</h4>The modules needed to run are in each directory. Each code requires execution time of less than 1 minute.<h4>Demo</h4>Sample data, code, and expected output are located in their repective directories.<h4>Instruction for use</h4>IDL code) type idl to enter IDL modeidl> .r (figure name).pro Python code) > python (figurename).py

restrictedcc-by-4.0Oct 2023View details →

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Last verified 2026-04-30Open record

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Last verified 2026-04-29Open record

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Last verified 2026-04-29Open record