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sclk
float64
667M
811M
lmst
stringlengths
18
18
⌀
ltst
stringlengths
13
13
⌀
pressure_pa
float64
585
1,000M
⌀
pressure_uncertainty_pa
float64
transducer
float64
1
2
⌀
relative_humidity_pct
float64
0
13.8M
⌀
relative_humidity_uncertainty_pct
float64
0.68
6.21
⌀
humidity_sensor_temp_k
float64
188
280
⌀
humidity_sensor_temp_uncertainty_k
float64
0.09
0.26
⌀
volume_mixing_ratio
float64
5.88
7.51k
⌀
volume_mixing_ratio_uncertainty
float64
downward_lw_irradiance_wm2
float64
16.1
106
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downward_lw_irradiance_uncertainty_wm2
float64
0.84
12.5
⌀
upward_lw_irradiance_wm2
float64
2.5
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⌀
upward_lw_irradiance_uncertainty_wm2
float64
0.64
13.5
⌀
rsm_head_outside_tirs_up_fov
float64
0
0
⌀
wheel_outside_tirs_down_fov
float64
sun_outside_tirs_fov
float64
0
1
⌀
rover_low_tilt
float64
1
1
⌀
tirs_ground_not_in_shadow
float64
0
1
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rover_hga_off
float64
skycam_off
float64
rover_still
float64
0
1
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sol
int64
1
1.62k
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00001M16:06:45.283
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715.96
null
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null
null
274.34
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null
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32.88
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91.56
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1
1
null
null
1
1
667,042,541
00001M16:06:46.256
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715.8
null
2
null
null
274.31
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null
null
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91.18
6.27
0
null
1
1
1
null
null
1
1
667,042,542
00001M16:06:47.229
0001 15:29:17
715.88
null
2
null
null
274.4
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null
null
32.26
9.42
90.96
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null
1
1
1
null
null
1
1
667,042,543
00001M16:06:48.202
0001 15:29:18
715.72
null
2
null
null
274.36
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null
null
32.36
9.42
90.98
6.28
0
null
1
1
1
null
null
1
1
667,042,544
00001M16:06:49.176
0001 15:29:19
715.72
null
2
null
null
274.32
0.09
null
null
32.26
9.42
91
6.28
0
null
1
1
1
null
null
1
1
667,042,545
00001M16:06:50.149
0001 15:29:20
715.88
null
2
null
null
274.37
0.09
null
null
32.31
9.42
90.96
6.28
0
null
1
1
1
null
null
1
1
667,042,546
00001M16:06:51.122
0001 15:29:21
716.03
null
2
null
null
274.35
0.09
null
null
32.15
9.42
90.95
6.28
0
null
1
1
1
null
null
1
1
667,042,547
00001M16:06:52.095
0001 15:29:22
715.95
null
2
null
null
274.33
0.09
null
null
31.89
9.42
90.77
6.29
0
null
1
1
1
null
null
1
1
667,042,548
00001M16:06:53.069
0001 15:29:23
715.88
null
2
null
null
274.33
0.09
null
null
31.92
9.42
90.96
6.29
0
null
1
1
1
null
null
1
1
667,042,549
00001M16:06:54.042
0001 15:29:24
715.8
null
2
null
null
274.37
0.09
null
null
31.78
9.41
90.62
6.3
0
null
1
1
1
null
null
1
1
667,042,550
00001M16:06:55.015
0001 15:29:25
715.79
null
2
null
null
274.41
0.09
null
null
31.94
9.42
90.92
6.29
0
null
1
1
1
null
null
1
1
667,042,551
00001M16:06:55.988
0001 15:29:26
715.87
null
2
null
null
274.4
0.09
null
null
31.93
9.41
90.78
6.3
0
null
1
1
1
null
null
1
1
667,042,552
00001M16:06:56.962
0001 15:29:27
715.8
null
2
null
null
274.32
0.09
null
null
32.02
9.41
90.87
6.3
0
null
1
1
1
null
null
1
1
667,042,553
00001M16:06:57.935
0001 15:29:28
715.8
null
2
null
null
274.37
0.09
null
null
32.1
9.4
90.92
6.3
0
null
1
1
1
null
null
1
1
667,042,554
00001M16:06:58.908
0001 15:29:29
715.8
null
2
null
null
274.31
0.09
null
null
32.14
9.4
90.85
6.3
0
null
1
1
1
null
null
1
1
667,042,555
00001M16:06:59.881
0001 15:29:30
715.79
null
2
null
null
274.34
0.09
null
null
31.91
9.41
90.92
6.3
0
null
1
1
1
null
null
1
1
667,042,556
00001M16:07:00.855
0001 15:29:31
715.8
null
2
null
null
274.4
0.09
null
null
31.74
9.41
90.78
6.3
0
null
1
1
1
null
null
1
1
667,042,557
00001M16:07:01.828
0001 15:29:32
715.64
null
2
null
null
274.36
0.09
null
null
31.44
9.4
90.35
6.32
0
null
1
1
1
null
null
1
1
667,042,558
00001M16:07:02.801
0001 15:29:32
715.72
null
2
null
null
274.33
0.09
null
null
31.86
9.4
90.48
6.31
0
null
1
1
1
null
null
1
1
667,042,559
00001M16:07:03.774
0001 15:29:33
715.87
null
2
null
null
274.33
0.09
null
null
31.73
9.4
90.58
6.31
0
null
1
1
1
null
null
1
1
667,042,560
00001M16:07:04.748
0001 15:29:34
715.8
null
2
null
null
274.34
0.09
null
null
31.54
9.39
90.35
6.32
0
null
1
1
1
null
null
1
1
667,042,561
00001M16:07:05.721
0001 15:29:35
715.87
null
2
null
null
274.32
0.09
null
null
31.44
9.4
90.23
6.32
0
null
1
1
1
null
null
1
1
667,042,562
00001M16:07:06.694
0001 15:29:36
715.79
null
2
null
null
274.41
0.09
null
null
31.3
9.39
90.11
6.33
0
null
1
1
1
null
null
1
1
667,042,563
00001M16:07:07.667
0001 15:29:37
716.02
null
2
null
null
274.38
0.09
null
null
31.28
9.4
90.12
6.33
0
null
1
1
1
null
null
1
1
End of preview. Expand in Data Studio

Mars Perseverance MEDA Weather

Part of the Planetary Science Datasets collection on Hugging Face.

Update MEDA Weather Updated

Surface weather measurements from the Mars Environmental Dynamics Analyzer (MEDA) on NASA's Perseverance rover in Jezero Crater, Mars. Covers sol 1 to sol 1619 with 69,780,040 measurements across 1524 sols.

Dataset description

MEDA is a suite of environmental sensors on the Perseverance rover that measures Martian weather at ~1 Hz cadence. This dataset combines three derived data products from the PDS Atmospheres Node:

  • PS — Atmospheric pressure (Pa) from the pressure sensor
  • RHS — Relative humidity (%) and humidity sensor temperature (K)
  • TIRS — Thermal infrared upward/downward longwave irradiance (W/m2)

Records are merged on spacecraft clock (SCLK) to produce a unified weather timeline.

Schema

Column Type Description
sclk int64 Spacecraft clock count (unique timestamp)
lmst string Local Mean Solar Time
ltst string Local True Solar Time
sol int64 Martian sol (day) number since landing
pressure_pa float64 Atmospheric pressure (Pa)
pressure_uncertainty_pa float64 Pressure measurement uncertainty (Pa)
transducer int64 Pressure transducer ID (1 or 2)
relative_humidity_pct float64 Local relative humidity (%)
relative_humidity_uncertainty_pct float64 Humidity uncertainty (%)
humidity_sensor_temp_k float64 Humidity sensor temperature (K)
humidity_sensor_temp_uncertainty_k float64 Humidity sensor temperature uncertainty (K)
volume_mixing_ratio float64 Water vapor volume mixing ratio
volume_mixing_ratio_uncertainty float64 Volume mixing ratio uncertainty
downward_lw_irradiance_wm2 float64 Downward longwave irradiance (W/m2)
downward_lw_irradiance_uncertainty_wm2 float64 Downward LW irradiance uncertainty (W/m2)
upward_lw_irradiance_wm2 float64 Upward longwave irradiance (W/m2) — proxy for ground temperature
upward_lw_irradiance_uncertainty_wm2 float64 Upward LW irradiance uncertainty (W/m2)

Additional TIRS quality flag columns: rsm_head_outside_tirs_up_fov, wheel_outside_tirs_down_fov, sun_outside_tirs_fov, rover_low_tilt, tirs_ground_not_in_shadow, rover_hga_off, skycam_off, rover_still.

Quick stats

  • 69,780,040 measurements across 1524 sols (sol 1--1619)
  • Mean surface pressure: 63793.2 Pa (range 585.5--999999999.0 Pa)
  • 52,738,487 humidity readings available

Usage

from datasets import load_dataset

ds = load_dataset("juliensimon/mars-perseverance-weather", split="train")
df = ds.to_pandas()

# Daily pressure cycle for a given sol
sol_100 = df[df["sol"] == 100]
sol_100.plot(x="ltst", y="pressure_pa", title="Sol 100 pressure")

# Seasonal pressure variation (Mars has ~25% annual pressure swing)
daily_avg = df.groupby("sol")["pressure_pa"].mean()
daily_avg.plot(title="Mars surface pressure by sol")

# Ground temperature proxy from upward thermal IR
df["ground_temp_proxy"] = (df["upward_lw_irradiance_wm2"] / 5.67e-8) ** 0.25
daily_temp = df.groupby("sol")["ground_temp_proxy"].agg(["min", "max"])
daily_temp.plot(title="Ground temperature range by sol")

# Humidity readings (sparse — mostly nighttime)
humid = df[df["relative_humidity_pct"].notna()]
humid.groupby("sol")["relative_humidity_pct"].mean().plot()

Data source

NASA PDS Atmospheres Node — Mars 2020 MEDA derived environmental data, maintained by New Mexico State University.

Update schedule

Monthly (1st of each month at 08:00 UTC) via GitHub Actions. New sols are ingested incrementally.

Related datasets

Pipeline

Source code: juliensimon/space-datasets

Citation

@dataset{meda_weather,
  author = {Simon, Julien},
  title = {Mars Perseverance MEDA Weather},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/juliensimon/mars-perseverance-weather},
  note = {Based on NASA PDS Mars 2020 MEDA derived environmental data}
}

License

CC-BY-4.0

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