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time
timestamp[ns]date
2018-01-23 00:00:01
2022-02-22 00:59:59
z
float64
750
18.6k
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233
273
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12.6k
99k
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-89.94
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float64
-180
180
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float64
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7.18
173
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1
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50 values
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float64
0
9.57
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5 values
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2 values
layer_cover_pct
float64
0
100
layer_thickness_m
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100
10.8k
lwp_kg_m2
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0
5.39
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large_stringdate
2018-01-01 00:00:00
2022-02-01 00:00:00
phase_class
large_stringclasses
3 values
provider
large_stringclasses
1 value
season
large_stringclasses
4 values
qv_source
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1 value
2018-01-23T00:00:01.332000
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2018-01-23T00:00:01.352000
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2018-01-23T00:00:01.372000
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2018-01-23T00:00:01.852000
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2018-01-23T00:00:01.872000
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2018-01-23T00:00:01.892000
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2018-01-23T00:00:02.212000
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2018-01-23T00:00:02.232000
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2018012300
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2018-01-23T00:00:02.252000
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2018012300
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2018-01-23T00:00:02.272000
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2018-01-23T00:00:02.292000
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2018012300
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2018-01-23T00:00:02.312000
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2018012300
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2018-01-23T00:00:02.832000
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2018012300
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2018-01-23T00:00:02.852000
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2018-01-23T00:00:02.952000
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2018-01-23T00:00:02.972000
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2018012300
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2018-01
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2018-01-23T00:00:02.992000
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2018012300
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2018-01
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2018-01-23T00:00:04.632000
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2018012300
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2018-01
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2018-01-23T00:00:04.652000
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2018012300
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2018-01
liquid
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2018-01-23T00:00:04.772000
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2018012300
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2018-01
liquid
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2018-01-23T00:00:04.812000
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2018012300
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2018-01
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2018-01-23T00:00:05.352000
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2018012300
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2018-01
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2018-01-23T00:00:05.372000
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2018012300
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2018-01
liquid
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2018-01-23T00:00:05.732000
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2018012300
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2018-01
liquid
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2018-01-23T00:00:05.752000
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2018012300
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2018-01
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2018-01-23T00:00:05.832000
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2018012300
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2018-01
liquid
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2018-01-23T00:00:06.232000
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2018012300
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2018-01
liquid
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2018-01-23T00:00:06.252000
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2018012300
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2018-01-23T00:00:06.292000
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2018012300
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2018-01
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2018-01-23T00:00:06.272000
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2018012300
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liquid
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2018-01-23T00:00:07.942000
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2018012300
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2018-01-23T00:00:07.962000
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2018012300
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2018-01-23T00:00:07.982000
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2018012300
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2018-01-23T00:00:08.382000
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2018012300
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2018-01-23T00:00:08.482000
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2018012300
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2018-01
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2018-01-23T00:00:08.842000
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2018012300
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2018-01-23T00:00:08.862000
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2018012300
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2018-01
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2018-01-23T00:00:08.882000
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2018012300
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2018-01
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2018-01-23T00:00:08.902000
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2018012300
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2018-01
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2018-01-23T00:00:09.402000
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2018012300
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2018-01-23T00:00:09.422000
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2018012300
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2018-01
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2018-01-23T00:00:11.882000
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2018012300
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2018-01
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2018-01-23T00:00:11.902000
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2018012300
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2018-01-23T00:00:11.922000
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2018012300
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2018-01-23T00:00:11.942000
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2018012300
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2018012300
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2018-01-23T00:00:12.322000
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2018012300
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2018-01
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2018-01-23T00:00:12.342000
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2018012300
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2018-01
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2018-01-23T00:00:12.362000
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2018012300
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2018-01
liquid
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2018-01-23T00:00:18.852000
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2018-01-23T00:00:18.892000
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mixed
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End of preview. Expand in Data Studio

MessiahMaybe cross-provider holdout sets

External test sets for the MessiahMaybe EarthCARE-trained physics-informed network for mixed-phase cloud supercooled liquid fraction (SLF = q_l / (q_l + q_i)). None of these rows come from EarthCARE, so they test generalization across instrument, retrieval algorithm, period, and region rather than leakage-prone random-row splits.

All rows pass the same filters as the EarthCARE training table: finite z, T, P, q_l, q_i; q_l, q_i >= 0; q_total > 1e-12; 233.15 K < T < 273.15 K; 750 m <= z <= 20 km.

Columns

Column Units Meaning
time UTC observation time
z m bin / layer height
T, P K, Pa temperature, pressure
q_l, q_i, q_total kg/kg liquid, ice, total condensate mixing ratio
slf - q_l / q_total
q_v kg/kg specific humidity
lat, lon deg location
w m/s 0 (not observed; matches the MessiahMaybe NaN policy)
sza deg solar zenith angle
lat_band, season, month - stratification tags
granule, provider-specific tags - see each provider below

Each config folder also contains holdout.npz (the exact collocation / labeled arrays for pinn_architecture.load_filtered_splits(dir, split="holdout")) and catalog.json.

Providers

ceres_ssf

CERES SSF Aqua-FM3-MODIS Edition4A (statistical check; MODIS cloud properties). One row per footprint cloud layer. SLF = f_liq·LWP / (f_liq·LWP + (1-f_liq)·IWP) with f_liq = 2 - mean phase; q_total is derived from water path and hypsometric layer thickness; q_v from ERA5 at the layer effective pressure (see qv_source). Use for binned SLF(T) statistics, not per-row accuracy.

  • Rows: 3,585,418
  • Time coverage: 2018-01-23T00:00:01.332843264 to 2022-02-22T00:59:59.708336640
  • Granules: 50
  • Rows per latitude band: 30N-60N: 670,893, 30S-30N: 678,133, 60N-90N: 695,863, 60S-30S: 826,989, 90S-60S: 713,540
  • Caveats:
    • Daytime MODIS retrievals; one row per cloud layer, not per vertical bin.
    • SLF is a layer/column mass ratio and q_total is thickness-derived: use for binned statistics only.
    • q_v from ERA5 at the layer effective pressure (or liquid saturation if qv_source=saturation).
  • Cite:
    • Minnis, P., et al. (2021), CERES MODIS cloud product retrievals for Edition 4, IEEE TGRS, doi:10.1109/TGRS.2020.3008866
    • NASA/LARC/SD/ASDC, CERES SSF Aqua-FM3-MODIS Edition4A, doi:10.5067/AQUA/CERES/SSF-FM3_L2.004A

EarthCARE ACM-CAP, 80°S–80°N

Rebuilt from ESA MAAP ACM_CAP_2B, 2024-08-01 to 2026-08-01, bounding box 80°S–80°N. One frame per month and UTC hour (576 frames). Baseline BA frames take temperature, pressure, and specific humidity from AUX_MET_1D rebinned onto ACM-CAP.

Filters: finite z, T, P, q_l, q_i; q_l and q_i non-negative; q_total > 1e-12; 233.15 K < T < 273.15 K; 750 m <= z <= 20 km; -80 <= latitude <= 80. Missing Doppler velocity is kept.

  • Rows: 23,691,644
  • Latitude: -79.9999 to 79.9999
  • Row split, seed 42, 70/15/15: train 16,584,150, val 3,553,746, test 3,553,748
  • Files under earthcare_80s80n/: cesm2_baseline_earthcare.npz, cesm2_baseline_earthcare.nc, catalog.json, and splits/{train,val,test}.npz
  • Split arrays are collocation and labeled with columns z, T, K, q_total, aerosol, w, P, lat, lon, q_v, re_i, sza

This is a derived table. The original ESA product files are not in this repository.

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