Subject: | SGP/VDIS/C1 - Data missing |
DataStreams: | sgpvdisdropsC1.b1, sgpvdisC1.00, sgpvdisC1.b1
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Description: | Short term interruption of observations occurred. |
Suggestions: | Sorry, but no other disdrometer observations are available. |
Measurements: | sgpvdisdropsC1.b1: - Instrument effective measurement area(area)
- Quality check results on field: Equivolumetric sphere diameter(qc_equivolumetric_sphere_diameter)
- Fall speed(fall_speed)
- Quality check results on field: Fall speed(qc_fall_speed)
- Drop volume(drop_volume)
- Oblateness(oblateness)
- Quality check results on field: Individual drop height as measured by camera A(qc_drop_height_a)
- Quality check results on field: Individual drop height as measured by camera B(qc_drop_height_b)
- Individual drop height as measured by camera A(drop_height_a)
- Individual drop height as measured by camera B(drop_height_b)
- Individual drop width as measured by camera A(drop_width_a)
- Individual drop width as measured by camera B(drop_width_b)
- Quality check results on field: Drop volume(qc_drop_volume)
- Quality check results on field: Instrument effective measurement area(qc_area)
- Equivolumetric sphere diameter(equivolumetric_sphere_diameter)
- Quality check results on field: Oblateness(qc_oblateness)
- Quality check results on field: Individual drop width as measured by camera B(qc_drop_width_b)
- Quality check results on field: Individual drop width as measured by camera A(qc_drop_width_a)
more
sgpvdisC1.00: - (Raw data stream - documentation not supported)
more
sgpvdisC1.b1: - Diameter of smallest drop observed(diameter_min)
- Liquid water distribution mean, assuming an ideal Marshall-Palmer type
distribution(liquid_water_distribution_mean) - Diameter of largest drop observed(diameter_max)
- Median volume diameter, assuming an ideal Marshall-Palmer type distribution(median_volume_diameter)
- Retrieved Liquid Water Content(liquid_water_content)
- Intercept parameter, assuming an ideal Marshall-Palmer type distribution(intercept_parameter)
- Moment 4 from the observed distribution(moment4)
- Moment 3 from the observed distribution(moment3)
- Center diameter of drop size bin(drop_diameter)
- Moment 2 from the observed distribution(moment2)
- Moment 1 from the observed distribution(moment1)
more
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