# Presentation: 677606

## From POLE (Particle ONERA-LANL Environment) to a global radiation belt model

- S. Bourdarie, D. Boscher, ONERA
- R. Friedel, LANL
- R. Ecoffet, CNES

## Outline

- Introduction
- Focus on Geostationary orbit (POLE)
-  Extension to all locations
- Conclusions

## Introduction

- _Mapping from in-situ measurements (electrons E > 2 MeV)_

- (12 satellites)

- (12 satellites)

- From Reeves et al. EOS, 79, Decmber 15, 1998

## Focus on Geostationary orbit (POLE)

- 						          LANL-97A
- 						      1994-084
- 					                  1991-080
- 					            1990-095
- 					       1989-046
- 				    1987-097
- 			                 1984-129
- 		             1984-037
- 		            1982-019
- 	             1981-025
-                  1979-053
-                1977-007
- 1976-059

- The data: overview of the used satellites

- CPA

- SOPA

**Focus on Geostationary orbit (POLE)**

## Focus on Geostationary orbit (POLE)

- CPA

- SOPA

- ESP

- basis

- model

- The data: energy range of the instruments

**Focus on Geostationary orbit (POLE)**

## Focus on Geostationary orbit (POLE)

- The raw data for the 1100-1500 keV energy channel

**Focus on Geostationary orbit (POLE)**

## Focus on Geostationary orbit (POLE)

- The data: Calibration of measurements; comparison with CRRES

**Focus on Geostationary orbit (POLE)**

## Focus on Geostationary orbit (POLE)

- The data: cross calibrated measurements
- for all the original channels (reference 1984-129)

**Focus on Geostationary orbit (POLE)**

## Focus on Geostationary orbit (POLE)

- Solar max

- Solar min

- Building the model: analysis of  the 1.1-1.5 MeV channel

**Focus on Geostationary orbit (POLE)**

## Focus on Geostationary orbit (POLE)

- Determination of ratio

- Building the model: determination of the worst cycle and the lowest cycle

- Estimation of the uncertainty of each point

**Focus on Geostationary orbit (POLE)**

## Focus on Geostationary orbit (POLE)

- Estimation of the ratio between the worst/lowest cycle and the average

**Focus on Geostationary orbit (POLE)**

## Focus on Geostationary orbit (POLE)

- Result of the model and extrapolation from 37 keV to 2.5 MeV
- (checked with CPA and ESP measurements)

**Focus on Geostationary orbit (POLE)**

## Focus on Geostationary orbit (POLE)

- Surface
- effects

- Solar
- cells effects

- Dose
- effects

- Result of the model: Comparison with AE8 on a 11 year mission

**Focus on Geostationary orbit (POLE)**

## Focus on Geostationary orbit (POLE)

- Validation by

## Focus on Geostationary orbit (POLE)

- Validation by

- 8.7-14.5 MeV protons @GOES8

- [MeV-1 cm-2 s-1 sr-1]

- 8.7-14.5 MeV protons @GOES8

- [MeV-1 cm-2 s-1 sr-1]

## Extension to all locations: Approach

- Extension to all locations: Approach

**LANL GEO**
**series**

**Cross calibration**
**Validation**

**Dynamic**
**Salammbô**
**code**

- Empirical inputs

**Interpolation**
**Extrapolation**

- Time dependant space
- environment maps

**HEO1**

**POLAR**

**GPS series**

**HEO3**

**SAMPEX**

## Extension to all locations The data base

- Sept-Oct 1998

## Extension to all locations Salammbô code including a non-dipole field

- _[ONERA_DESP_LIBRARY](file:///user_guide.html)_

## Extension to all locations Simulation – Sept-Oct 1998

- Outer boundary of Salammbô – L*=8.

- POLAR

**GPS ns33**

**LANL-1994-084**

## Extension to all locations Simulation – Sept-Oct 1998

## Extension to all locations Simulation – Sept-Oct 1998

## Extension to all locations Simulation – Sept-Oct 1998

## Conclusions

-  We have first concentrated on GEO orbit (POLE):
- We used 13 satellite measurements from 1976 to 2001 (2.5 solar cycles) to construct a model of electrons at GEO
- Particular attention was paid to calibration (cross calibration & absolute calibration)
- The model was built using the year of solar minimum as reference (better defined)
- It gives electron flux on a one-year time resolution in the range 30 keV-2.5 MeV
- It gives lower values than AE8 between around 130 keV and 2.5 MeV (factor = 2 to 3) -> solar cells
- It is publicly available
-  We have potential to extend such a model to all locations
-  Data analysis technique
-  Data assimilation with Salammbô