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Download Tokyo 10 01 ((TOP))



About Issues Version History Stay up to Date Know when a new version of Natural Earth is released by subscribing to our announcement list.Find a Problem?Submit suggestions and bug reports via Github Issues and track the progress of your edits.Thank YouOur data downloads are generously hosted by Amazon Web Services since 2021 and previously Florida State University.




download Tokyo 10 01



Use the form above to download these files. To automate or download multiple datasets, you can download a program called wget. Due to increased web security, the anonymous FTP server is no longer available.


The second download option "Legend File" will help you reproduce the color scheme we are using. If using ArcView, you will need to copy it into your c:\esri\av_gis30\arcview\legend_avl\ directory and load it manually through the legend editor. This file does not change from day to day.


NOTE -- Latitude and Longitude are not explicitly stated in the netCDF file. The second download option "HRAP-to-LatLon" contains source code for a C-program. The program contains a function that reprojects HRAP coordinates to Lat-Lon coordinates. The fully compiled program reads the netCDF files and writes ascii files with the following fields:


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6 Obligations to examine and to notify6.1 Licensee is obliged to examine the Software for any evident faults. An evident fault means a fault obvious to the average Licensee. Unless Licensor is notified of such faults within 14 days of downloading the Software, the warranty will expire.


We have processed Earth2Observe (E2O) runoff products for use in CaMa-Flood. (0.25deg, daily, 1980-2014, WRR2 version, 7 Land models.) The original data is distributed in E2O webpage, under CC-BY-SA 4.0 license. The processed runoff data is also distributed under CC-BY-SA 4.0 license. The modifications we applied are: - change of sign (runoff is defined as a negative flux in oroginal E2O) - make sure the unit was the same for all (mm/day) - make sure the orientation (south to north) and grid (60S to 90N) was the same for all. - set negative runoff values to zero in the JULES and ORCHIDEE data. For detail, please read the description paper: Original description: Schellekens et al. 2017; Dutra et al. 2017. Data processing (by Dirk Eilander): Eilander et al., 2020 If you want to do simulations with E2O runoff data, please downlaod it from below. (note: each is 10GB). - E2O_WRR2 ECMWF HTESSEL: E2O_ecmwf.tar - E2O_WRR2 NERC JULES: E2O_nerc.tar - E2O_WRR2 CNRS ORCHIDEE: E2O_cnrs.tar - E2O_WRR2 JRC LISFLOOD: E2O_jrc.tar - E2O_WRR2 ANU W3: E2O_anu.tar - E2O_WRR2 U-Kassel WaterGAP: E2O_univk.tar - E2O_WRR2 U-Utrech PCR-GLOBWB: E2O_univu.tar River gauge allocation A code to allocate river gauges on CaMa-Flood river map is prepared. Allocation consists of two steps. Step-(1) Allocation on 1min river map, and Step-(2) Allocation on CaMa-Flood river map. Detailed documentation and the code+data package for Step-(1) can be downloaded from here. The code for Step-(2) is included in the latest CaMa-Flood repository (after v4.05). Please download the code from GitHub.


The runoff climatology data is needed to calculate river channel parameters (already included in the package, so no need to download if you are using package). If you want this data for some reasons, please download from here. Model Description Overall Framework The CaMa-Flood (Catchment-based Macro-scale Floodplain) model is a global-scale distributed river model, which is driven by runoff forcing from a land surface model. The water storage at each grid cell is the only prognostic variable, while the other variables (i.e. water level, inundated area, river discharge, and flow velocity) are diagnosed from the grid cell water storage at each time step. The time evolution of water storage at every time step is solved by calculating the water flux (discharge) between each grid cell and the next downstream cell along a prescribed river network. River discharge and flow velocity are estimated by the local inertial equation.


Amazon Web Services (AWS) publishes its current IP address ranges in JSON format. To view the current ranges, download the .json file. To maintain history, save successive versions of the .json file on your system. To determine whether there have been changes since the last time that you saved the file, check the publication time in the current file and compare it to the publication time in the last file that you saved. 350c69d7ab


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