Aquarius Level 0-to-1A Processing

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Aquarius Level 0-to-1A Processing Rule #1: spare everything from the Level 0 information. Run #2: always remember Rule #1! The goal is to guarantee that the Level 0-to-1A transformation is completely reversible.

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Level-0 File Overview A solitary duplicate of the substance Aquarius memory at the season of the downlink, in time arrange, as produced by the Aquarius preprocessor. Information comprise of twofold science pieces spreading over a time of ~14 hours (110 Mbytes).

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Science Block Structure

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Radiometer Block

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Scatterometer Block

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Level-1A Product Overview Level-1A information comprises of unloaded, unconverted science information and instrument housekeeping telemetry, with route and required rocket telemetry. Every record contains 1 circle (beginning at South Pole crossing) in addition to 10 minutes at every end. Level-1A items are organized utilizing HDF5: Machine-free, progressive, self portraying design Attributes contain distinct data about the whole record or individual questions inside the document Groups give coherent affiliation and order Data articles are multidimensional varieties of principles sorts

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Level-1A Product Elements Product metadata, i.e., illustrative data about the whole document (e.g., sensor, time, quality) Data qualities (number of squares, and so on.) Science piece metadata (time and quality) Raw sensor information: Block header components Housekeeping telemetry by subsystem Radiometer and scatterometer science information, Navigation information (unique inspecting rate) Orbit vectors from anticipated or authoritative ephemeris Attitude information from SAC-D telemetry Unpacked and changed over Aquarius housekeeping telemetry SAC-D housekeeping telemetry (chose fields changed over)

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Synch word GPS time label Time label balance Antenna telemetry ICDS preparing status ICDS building telemetry Mechanical telemetry APDU telemetry ATC telemetry Scatterometer HKT Scatterometer science information Radiometer RT HKT Radiometer NRT HKT Radiometer science information Level 0-to-1A Mapping Synch and Time Tag A quarius Raw Telemetry Scatterometer science information Header Power Loopback DC Radiometer science information Header Short Accumulations Long Accumulations Checksum

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Level-1A Ancillary Data Orbit ephemeris information gave by CONAE: Predictive ephemeris for close continuous handling Definitive ephemeris for refined handling GPS information from SAC-D as reinforcement Attitude information from SAC-D housekeeping telemetry Additional SAC-D housekeeping telemetry gave by CONAE from downlink information

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Calibration and Orbit Adjust Data Cold sky alignment and circle modify periods will be recognized amid Level-1A preparing, either from the summon plan or the rocket housekeeping telemetry. Information from these periods (in addition to extra information as required for adjustment, TBD) will be composed to separate documents and avoided from downstream handling. Adjustment documents will be accommodated disconnected investigation.

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Level-1A Format Examples 3.1 Mission and Documentation Product Name (character): the name of the item record (without way). Title (character): "Aquarius Level‑1A Data". Server farm (character): "NASA/GSFC Aquarius Data Processing Center". Mission (character): "SAC-D Aquarius". Mission Characteristics (character): "Nominal circle: slant = 98.0 (Sun-synchronous); hub = 6 PM (rising); capriciousness = <0.002; elevation = 650 km; ground speed = 6.825 km/sec". Sensor (character): "Aquarius". Information Type (character): "SCI", "CAL" or "DMP". Programming ID (character): recognizes variant of the operational programming used to make this item. Preparing Time (character): nearby time of era of this item; linked digits for year, day-of-year, hours, minutes, seconds, and part of seconds in the configuration of YYYYDDDHHMMSSFFF. Input Files (character): the name of the Level‑0 file(s) (without way) from which the present item was made. This data is put away in the item as a feature of its handling history. Handling Control (character): all info and preparing control parameters utilized by the calling project to create the item. Vertical bars or carriage return characters serve as parameter data delimiters. This data is put away in the item as a feature of its preparing history.

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Level-1A Format Examples (cont.) 4.2.3 Raw Radiometer Science Data radiom_header (2‑byte whole number, exhibit estimate Number of Blocks ): long_name = "Radiometer piece header"; this header indicates the bundle sort (standard or memory dump) and the housekeeping telemetry parcel number (0 through 3). radiom_savg (2‑byte whole number, cluster measure Number of Blocks x Radiometer Subcycles x Radiometer Short Accumulations x Radiometer Channels ): long_name = "Radiometer Short Accumulations"; radiometer information collected and found the middle value of inside a subcycle. radiom_lavg (2‑byte whole number, exhibit estimate Number of Blocks x Radiometer Long Accumulations x Radiometer Channels ): long_name = "Radiometer Long Accumulations"; radiometer information amassed and arrived at the midpoint of over numerous subcycles inside a piece. 4.2.4 Raw Scatterometer Science Data scatter_headers (byte, exhibit estimate Number of Blocks x Scatterometer Subcycles ): long_name = "Scatterometer subcycle headers"; headers for each scatterometer subcycle inside a square. scatter_pwr (2‑byte whole number, exhibit estimate Number of Blocks x Scatterometer Subcycles x Scatterometer Channels ): long_name = "Scatterometer Power"; crude scatterometer control information for each subcycle inside a square. scatter_loop (2‑byte whole number, exhibit estimate Number of Blocks x Scatterometer Channels ): long_name = "Scatterometer Loopback Measurements"; scatterometer loopback information normal over the subcycles inside a square. scatter_dc (2‑byte whole number, exhibit measure Number of Blocks x 2): long_name = "Scatterometer DC information"; crude scatterometer DC information found the middle value of over the subcycles inside a piece.

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Aquarius Telemetry Example

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Aquarius Level-1A Merge Multiple forms of Level-1A items will be created for every circle from covering periods in progressive Level-0 records. Level-1A blend handling will merge these into a solitary item by selecting the best quality information for every science square utilizing TBD measurements.

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Aquarius Level-1B Products Separate documents for radiometer and scatterometer. Arranged utilizing HDF5 Product-level metadata is basically the same with respect to Level 1A. Adjusted science information, preparing data and quality pointers as characterized for every information sort, per bar and polarization. Route and geolocation information at square or subcycle times.

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Radiometer Level-1B Science Data Calibrated shine temperatures (per subcycle) Noise temperatures (per square) Voltage balances (per piece) Gains (per square) RFI banners (per subcycle) Brightness temperatures RMS (per subcycle)

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Scatterometer Level-1B Science Data Sigma 0 (backscatter) K PC (standardized standard deviation) Signal-to-commotion proportion Noise esteem All fields created per subcycle

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Level-1B Navigation Data Orbit position and speed (per piece) Attitude move, pitch and yaw edges (per piece) Beam focus scope/longitude (per pillar and subcycle) Beam edge scope/longitude (oval major and minor tomahawks) (per shaft and square) Incidence and azimuth edges (per bar and piece) Polarization roll (per bar and piece) Doppler move (per bar and piece)

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Pointing Knowledge Assessment Pointing learning necessity is 0.1 degree 3 sigma, driven essentially by the radiometer affectability to the occurrence edge. This is proportional to around 2 km of area precision at the surface. Confirming this level of exactness could challenge with the Aquarius shaft measure. Cover with land surfaces ought to be helpful, however approach should be produced. This will doubtlessly be executed as a different preparing venture after Level-1B handling.

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Pointing Knowledge Assessment (cont.) What is the normal affectability of the radiometer flag to land versus sea surface? How can this change with surface sort? Is surface height a component? How is polarization influenced? Will the affectability and scope be adequate to portray methodical and in addition static mistakes? By what method can the strategy be intended to handle a sensible least subset of the radiometer information (60,000 squares, 720,000 subcycles) every day? Does the scatterometer give an autonomous appraisal?