hysplit

HYSPLIT-WEB (Internet-based)

Run HYSPLIT Trajectory Model (No registration required)
Run HYSPLIT Dispersion Model (includes volcanic ash)
HYSPLIT Registration Instructions
HYSPLIT for Volcanic Ash
Spain HYSPLIT(http://www.hysplit.uhu.es/ )
HYSPLIT for NWS Forecast Offices (NOAA employees only - you will leave the ARL web site)
- BACKUP - HYSPLIT for NWS Forecast Offices (NOAA employees only - backup ARL site)

PC Windows-based HYSPLIT

Download Public (unregistered) Version
Download Registered Version (registration required)
- HYSPLIT Registration Instructions
Graphical Utilities - These should be installed prior to HYSPLIT
Meteorological Data Conversion Utilities

Getting Started from the Terminal Window

https://www.ready.noaa.gov/documents/Tutorial/html/install_win.html

If Tcl/Tk has not been installed, then the model can be run from the terminal window from the ./hysplit4/working directory. Prior to the models first time use it may be necessary to copy ../bdyfiles/ASCDATA.CFG to the ./working directory.
[Command line trajectory example:]
(https://ready.arl.noaa.gov/hyreg/HYSPLIT_applehysp.php)
cp sample_traj CONTROL
../exec/hyts_std
../exec/trajplot tdump
open trajplot.ps
Command line concentration example:

cp sample_conc CONTROL
../exec/hycs_std
../exec/concplot cdump
open concplot.ps

Apple-based HYSPLIT

Download Unregistered & Registered Versions

LINUX HYSPLIT

注册后下载

vi data2arl/arw2arl/Makefile
LINKS = -L$(NETLIB) -lnetcdff -L../../library -lhysplit
FC = gfortran

Test Trajectory Calculation test_traj.sh

Automated HYSPLIT Disperison Forecasts

Automated dispersion forecasts for select locations (registration required)
- HYSPLIT Registration Instructions

HYSPLIT-compatible Meteorological Data

On-Line Training/Help

Documentation

HYSPLIT Model Overview
Updated html Version
- UNIX - LINUX HYSPLIT install
- Convert Meteorological Data
[HYSPLIT USER GUIDE.pdf](http://niwc.noaa.inel.gov/EOCFSV/hysplit/hysplituserguide.pdf)
- [Original NOAA Tech. Memo ERL ARL-230 (PDF, 4.5 MB)]
  (https://www.arl.noaa.gov/wp_arl/wp-content/uploads/documents/reports/arl-230.pdf)
[HYSPLIT Cheat Sheet (pdf)](https://ready.arl.noaa.gov/documents/ppts/Cheat_Sheet_2018.pdf)
Description of the HYSPLIT_4 Modeling System (1997, PDF, 182 KB)

Publications

Applications

Presentations

User Contributions

World Meteorological Organization (WMO) Atmospheric Dispersion Model Simulations of Fukushima Daiichi Accident 福岛第一核电站事故

PySPLIT: a Package for the Generation, Analysis, and Visualization of HYSPLIT Air Parcel Trajectories

Mellissa Cross
Department of Earth Sciences, University of Minnesota

Abstract

The National Oceanic and Atmospheric Administration (NOAA) Air Resources Laboratory's HYSPLIT (HYbrid Single Particle Lagrangian Transport) model Drax98, Drax97 uses a hybrid Langrangian and Eulerian calculation method to compute air parcel trajectories and particle dispersion and deposition simulations. Air parcels are hypothetical small volumes of air with uniform characteristics. The HYSPLIT model outputs air parcel paths projected forwards or backwards in time (trajectories) and is used in a variety of scientific contexts. Here we present the first package in the mainstream scientific Python ecosystem designed to facilitate HYSPLIT trajectory analysis workflow by providing an intuitive API for generating, inspecting, and plotting trajectory paths and data.

Keywords

HYSPLIT, trajectory analysis, matplotlib Basemap

Bibtex entry

Full text PDF

METEOINFO

Trajectory

Plot HYSPLIT Data

MeteoInfoLab脚本示例：HYSPLIT模式浓度数据

Post by yaqiang » July 19th, 2016, 8:38 pm

You may calculate vorticity firstly (http://www.meteothink.org/examples/me ... hdivg.html) and then extract the vorticity data along the trajectory (http://www.meteothink.org/examples/me ... _data.html).

![traj_meteo_data]

资源：

Meteorology Output Along the Trajectory

Sets the option to write the value of certain meteorological variables along the trajectory to the trajectory
output file. The marker variables are set to (1) to turn on the option. Multiple variables may be selected
for simultaneous output but only one variable may be plotted. If multiple variables are selected in
conjunction with the trajectory display option, then only the last variable output will be shown in the
graphic. The variable output order is fixed in the program and cannot be changed.
● TM_PRES (0) - diagnostic marker variables to output atmospheric pressure (1) along the
trajectory
● TM_TPOT (0) - potential temperature (1) in degrees Kelvin
● TM_TAMB (0) - ambient temperature (1) in degrees Kelvin
● TM_RAIN (0) - rainfall (1) in mm per hour
● TM_MIXD (0) - mixed layer depth (1) in meters.
● TM_RELH (0) - relative humidity (1) in percent.
● TM_DSWF (0) - downward solar radiation flux (1) in watts.
● TM_TERR (0) - terrain height (1) in meters required for the trajectory plot to show underlying
terrain.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
TRAJ.CFG is in /data/c02n05/forecast/shanghai/hysplit/trunk/working/

问题汇总

traj_back-NJ.sh 里面的时间不能跳跃

foolish fault 夏季选用了345而不是678

Ground altitude for the same point varies with start date/time**

Backward trajectories starting point: height issue

Re: how to output vorticity along the hysplit trajectory.

Quote

轨迹输出文件

https://fr.mathworks.com/matlabcentral/answers/417572-how-can-i-read-tdump-file

filename = 'YourFile.tdump';
fid = fopen(filename, 'rt');
tline = fgetl(fid);
numgrid = sscanf(tline, '%f', 1);
for gridnum = 1 : numgrid
  tline = fgetl(fid);  %read and discard
end
tline = fgetl(fid);
numtraj = sscanf(tline, '%f', 1);
for trajnum = 1 : numtraj
  tline = fgetl(fid);  %read and discard
end
tline = fgetl(fid);
parts = regexp( strtrim(tline), '\s+', 'split');
numvars = str2double(parts{1});
varnames = parts(2:end);
fmt = repmat('%f', 1, numvars + 12);
data = cell2mat( textscan(fid, fmt, 'CollectData', 1) );
fclose(fid);
traj_nums = data(:,1);
grid_nums = data(:,2);
time_of_points = datetime( [data(:,3:7), zeros(size(data,1),1)] );   %year month day hour minute stored, fill in 0 for seconds
forecast_hours = data(:,8);
traj_ages = data(:,9);
lats = data(:,10);
longs = data(:,11);
heights = data(:,12);
variable_table = array2table(data(:,13:end), 'VariableName', varnames );
pressures = variable_table.PRESSURE;
rel_humidities = variable_table.RELHUMID;

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HYSPLIT