meteofrance/titan

---
license: apache-2.0
pretty_name: Titan
---

# TITAN : Training Inputs & Targets from Arome for Neural networks

Titan is a dataset made to train an AI NWP emulator on France.


## Data

* 3 data sources: Analyses from AROME, ANTILOPE (rain data calibrated with rain gauges) and analyses and forecasts from ARPEGE (coupling model)
* 1 hour timestep
* Depth: 2 years
* Format GRIB2


### Available parameters

GRIB2 files are grouped in folders per hour. Each folder contains 14 grib files. Each grib file contains several parameters, grouped per model, grid, leadtime (0h ou 1h for flux) and level.

The parameters in each grib file are described here:

| File name | Model | Grid | Level(s) | Parameters |
| :---: | :---: | :---: | :---: | :---: |
| ANTJP7CLIM_1S100_60_SOL | ANTILOPE | FRANXL1S100 (0.01°) | Ground | Cumulated Rainfall on next 1h |
| PA_01D_10M | ARPEGE | EURAT01 (0.1°) | 10m | U, V |
| PA_01D_2M | ARPEGE | EURAT01 (0.1°) | 2m | T, HU |
| PA_01D_ISOBARE | ARPEGE | EURAT01 (0.1°) | 24 Isobaric levels | Z, T, U, V, HU |
| PA_01D_MER | ARPEGE | EURAT01 (0.1°) | Sea | P |
| PAAROME_1S100_ECH0_10M | AROME | EURW1S100 (1.3 km) | 10m | U, V |
| PAAROME_1S100_ECH0_2M | AROME | EURW1S100 (1.3 km) | 2m | T, HU |
| PAAROME_1S100_ECH0_SOL | AROME | EURW1S100 (1.3 km) | Ground | RESR_SNOW |
| PAAROME_1S100_ECH1_10M | AROME | EURW1S100 (1.3 km) | 10m | U_RAF, V_RAF |
| PAAROME_1S100_ECH1_SOL | AROME | EURW1S100 (1.3 km) | Ground | PRECIP, WATER, SNOW |
| PAAROME_1S40_ECH0_ISOBARE | AROME | EURW1S40 (2.5 km) | 24 Isobaric levels | Z, T, U, V, VV2, HU, CIWC, CLD_WATER, CLD_RAIN, CLD_SNOW, CLD_GRAUPL |
| PAAROME_1S40_ECH0_MER | AROME | EURW1S40 (2.5 km) | Sea | P |
| PAAROME_1S40_ECH0_SOL | AROME | EURW1S40 (2.5 km) | Ground | COLUMN_VAPO |
| PAAROME_1S40_ECH1_SOL | AROME | EURW1S40 (2.5 km) | Ground | FLTHERM, FLSOLAR |

## Storage

* Size of GRIB2 files for 1 hour : ~ 480 Mo

* Size of **compressed** file for one day : ~ 6 Go

* Size of **compressed** dataset for 1 year : ~ 2.2 To

## Notes

* ANTILOPE data are commercial, so they are not included in the public samples of the dataset.

原始信息汇总

数据集概述

数据集名称

TITAN : Training Inputs & Targets from Arome for Neural networks

数据集用途

用于训练AI NWP（数值天气预报）模拟器，专注于法国地区。

数据来源

• AROME分析数据
• ANTILOPE（校准雨量计的降雨数据）
• ARPEGE的分析和预报数据（耦合模型）

数据特性

• 时间步长：1小时
• 数据深度：2年
• 数据格式：GRIB2

可用参数

每个GRIB2文件包含多个参数，按模型、网格、预报时效（0h或1h）和层次组织。主要参数包括：

• 累积降雨量
• 风速（U, V）
• 温度（T）
• 相对湿度（HU）
• 等压面高度（Z）
• 海平面气压（P）

存储信息

• 单小时GRIB2文件大小：约480 MB
• 单日压缩文件大小：约6 GB
• 单年压缩数据集大小：约2.2 TB

许可证

Apache-2.0