DATA_SET_DESCRIPTION |
Data Set Overview
=================
The REMS instrument is a meteorological suite of sensors designed
to provide measurements of air and ground temperatures, wind speed
and direction, pressure, humidity and ultraviolet radiation.
The REMS ADR data set contains ancillary data used in the
processing of REMS data. These data may come from sources external
to REMS (as is the case of the rover positions), or derived from
them (the UV dust attenuation is estimated from images of the
rover cameras). They are bundled together and with the rest of the
REMS data to make it easier its interpretation and its processing.
Data is a time ordered sequence of rows organized into several
tables. Each data product contains one sol worth of activity.
Parameters
==========
This data set includes the following information:
- Geometry information: solar longitude angle, solar zenithal
angle, rover position, rover velocity, rover pitch, rover yaw,
rover roll, masthead location and arm status. These data are
provided by NAIF in SPICE kernels.
- Corrections information: estimated Ultraviolet Sensor signal
attenuation due to dust deposition.
Processing
==========
Processing starts with the generation of the REMS EDRs. The REMS
EDR data products are generated by the MIPL (Multimission Image
Processing Laboratory) at JPL, under the OPGS, using the telemetry
processing software called MSLEdrGen. This software will convert
the binary data received from telemetry to ASCII. EDRs will then
be retrieved at Centro de Astrobiologia (INTA-CSIC) using the File
Exchange Interface (FEI).
EDR data products have a first automatic process using calibration
data. The result of this is the TELRDR data set, which contains
electrical magnitudes and thermal data. In parallel, using
ancillary data provided by JPL (such as rover location, sun
position) the ADRs (Ancillary Data Records) are generated. EDRs,
TELRDRs, ADRs, and calibration data are processed together to
obtain the ENVRDRs.
The level of processing of the ENVRDRs includes environmental
magnitudes with minimal corrections (mainly based on the
degradation of the sensors). Finally, applying models developed by
the REMS team and refining them with the confidence levels, the
MODRDR data set is created.
Some of the ADR data, such as the rover and sun geometry, are
provided directly by NAIF using SPICE. They are converted to ASCII
tables following the conventions used in the rest of REMS data
products.
Other ADR data, such as the Ultraviolet Sensor attenuation
estimation, implies some processing.Dust attenuation magnitude
over the Ultraviolet Sensor is estimated from rover cameras images
taken at several moments during the mission. The cameras will take
images of a target of the same size of the photodiodes situated
near them. With a robust image processing algorithm it will be
possible to estimate this attenuation factor.
Data
====
Each REMS ADR product in the data set is concatenation of ASCII
tables. Each table contains similar ancillary data.
There are two tables: one for geometry information and another one
for corrections. Each one contains the information outlined in the
Parameters section above.
Columns are delimited by commas and are of fixed length. Rows are
time ordered and are separated by a carriage return/line
feed. Each table contains a sol of measurements.
Coordinate System
=================
This data set depends on several coordinate systems used in the MSL
project. These are:
- MSL_TOPO frame, fixed to landing site, is used to define rover
position.
- MSL_LOCAL_LEVEL, fixed to the rover, is used to define rover
orientation (roll, pitch and yaw angles)
- MSL_RSM_ZERO_AZ frame, fixed to the rover, is used to define
rover remote sensor mast (RSM) azimuth.
- MSL_RSM_ZERO_EL, fixed to the rover, is used to define rover
remote sensor mast (RSM) elevation.
- MSL_ROVER_MECH, fixed to the rover, is used to define Sun
position angles (azimuth and elevation)
Software
========
No software is provided in this data set. The RDR tables are simple
ASCII files that can be displayed on UNIX, Macintosh, and PC
platforms with common software.
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CONFIDENCE_LEVEL_NOTE |
Confidence Level Overview
=========================
In this data set, confidence depends on the reliability of the
data coming from the external sources. In the case of geometry,
data are SPICE kernels provided by NAIF. They are expected to be
released as a separate data set. In the case of dust corrections,
they are dependent on the quality of the rover cameras images and
on the algorithm developed at CAB.
Data Coverage and Quality
=========================
At the time of this release, due to the low number of images of
the Ultraviolet Sensor from sols 1 to sol 154, and the ongoing
work of the signal attenuation estimation algorithm, the
UV_DUST_ATTENUATION column is set to 1 (no attenuation) as a
current best estimate. This factor may be updated as soon as
there is more information available.
However, analysis of available data has revealed that the
accumulation of dust over the Ultraviolet Sensor after sol 155
causes it to be attenuated above 10%, which is beyond the sensor
operational requirements. When that happens, the
UV_DUST_ATTENUATION column is set to NULL.
Limitations
===========
The major limitation of this data set is its dependency on
external sources.
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