CSEP2 Storing Stochastic Event Sets: Difference between revisions
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In order to maintain inter-operability between models and the international testing centers we must adopt a standard format for stochastic event sets that contains the necessary and sufficient information needed to perform CSEP evaluations of the forecasts. | In order to maintain inter-operability between models and the international testing centers we must adopt a standard format for stochastic event sets that contains the necessary and sufficient information needed to perform CSEP evaluations of the forecasts. | ||
The most straightforward approach would be to continue with a catalog format supported by CSEP1. The likely | The most straightforward approach would be to continue with a catalog format supported by CSEP1. The likely candidate for CSEP2 catalog format would be the so-called ZMAP format which has the following format: | ||
# Longitude [deg] | # Longitude [deg] | ||
| Line 19: | Line 19: | ||
# Minute | # Minute | ||
# Second | # Second | ||
= File Formats = | |||
The fields represented can be represented on the computer using a number of different file formats. However, we will focus on a binary representation that aims to reduce the total file size. | |||
Revision as of 00:15, 26 October 2018
Introduction
This page reflects the work on dealing with stochastic event sets within CSEP2.
In order to maintain inter-operability between models and the international testing centers we must adopt a standard format for stochastic event sets that contains the necessary and sufficient information needed to perform CSEP evaluations of the forecasts.
The most straightforward approach would be to continue with a catalog format supported by CSEP1. The likely candidate for CSEP2 catalog format would be the so-called ZMAP format which has the following format:
- Longitude [deg]
- Latitude [deg]
- Decimal year (e.g., 2005.5 for July 1st, 2005)
- Month
- Day
- Magnitude
- Depth [km]
- Hour
- Minute
- Second
File Formats
The fields represented can be represented on the computer using a number of different file formats. However, we will focus on a binary representation that aims to reduce the total file size.