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EarthScienceKit은 9개 지구과학 분야의 방정식을 계산·검토·시각화하고, 분야 선택·예제 실행·API 확인을 지원한다
EarthScienceKit makes the equations behind 9 Earth-science domains computable, inspectable and visualizable. Choose a domain to explore its history, run its examples and inspect its API. NumPy and ...
교육Python · Jupyter NotebookGitHub @cpoli가동 상태 재확인 필요운영자 미확인
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개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Inspectable Earth-system models for learning and teaching.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다.
README 전문 보기 ↗Inspectable Earth-system computations for learning and teaching.
EarthScienceKit follows the MathematicsKit family structure with ten
subpackages and 323 domain models: 305 algebraic equations and 18 sampled
dynamic models. Release 0.3.0 has the first nine; geomorphology is unreleased. Every model documents its units, input bounds and applicability.
NumPy and SciPy supply mature numerical foundations.
| Subpackage | Models | Focus |
|---|---|---|
plate_tectonics | 27 | Euler rotation, finite rotations and their composition, spreading, subduction, isostasy, flexure, convection, hotspots, cooling |
seismology | 25 | Elastic, surface and head waves, rays and travel times in a layered Earth, interfaces, magnitudes, pulses, rebound |
atmosphere | 30 | Hydrostatics, dry and moist thermodynamics, condensation level, CAPE and CIN, humidity, stratification, rotation, Rossby waves, barotropic vorticity |
climate | 30 | Radiation, greenhouse layers, insolation, forcing, feedback, two-box response, diffusive energy balance, ice-albedo hysteresis, red noise, heat storage, carbon and sea level |
oceanography | 25 | Tides, trochoidal and dispersive waves, density, the 75-term TEOS-10 polynomial and cabbeling, dynamic method, Ekman spiral, gyres, two-box overturning, abyssal mixing |
geophysics | 33 | Gravity anomalies, normal gravity and flattening, satellite J2, Stokes's geoid, dipole and Gauss coefficients, Schmidt harmonics and field synthesis, paleomagnetic poles, reversal anomalies, Love numbers, GRACE water, Rikitake dynamo |
volcanology | 28 | Decay and radiometric ages, radiocarbon, Pb-Pb, concordia and isochron dating, Rayleigh and crystal fractionation, lattice strain, isotope thermometry, magma viscosity and ascent, diffusive bubble growth, Mogi inflation, plume and column heights, VEI |
hydrology | 45 | Water balance, Darcy and Dupuit flow, Theis and Cooper-Jacob wells, steady and transient Richards, Green-Ampt and Horton infiltration, Chézy and Manning channels, unit hydrographs, Muskingum and kinematic-wave routing, degree-day snowmelt, Penman-Monteith evaporation, Horton's stream laws, TOPMODEL |
glaciology | 43 | Glen's flow law, Forbes's viscous slab, Nye's plastic ice sheet and crevasses, Weertman sliding, shallow-ice and Vialov profiles, flowline glacier, mass balance, Stefan sea ice, glacial isostasy and Haskell rebound, ice-core dating, Herron-Langway firn and gas-age offset, positive-degree-day melt, Schoof grounding line |
geomorphology | 37 | Stokes and Ferguson-Church settling, the Shields threshold, Rouse suspension, Meyer-Peter and Müller bedload, hillslope creep and fault scarps, soil production, stream power, graded and transient river profiles, chi, Hack, Flint and Strahler, hydraulic geometry, effective discharge, blown sand and dunes, cosmogenic erosion rates |
python -m pip install earthsciencekit
# Or from a checkout:
python -m pip install -e '.[dev]'
import numpy as np
from earthsciencekit.climate import simulate_one_box
from earthsciencekit.units import convert
time = convert(np.linspace(0, 100, 201), "year", "s")
result = simulate_one_box(4, 1.2, 2e8, time)
print(result.summary())
figure, axes = result.plot()
animation = result.animate(interval=40)
SI units apply unless an argument explicitly states otherwise. Latitude and angles use radians. Algebraic functions accept scalars and broadcast arrays; finite real quantities and physical bounds are validated. Unit conversions are explicit. Sampled histories copy their arrays, retain labels and support plots and animation export.
The Sphinx site has Subpackages, History, Examples and API entry points, MathematicsKit-style cards/hubs and cross-links. Ten history pages connect at least fifteen dated breakthroughs each to the APIs; ten guides explain equations, conventions and independent checks. One executed gallery script per breakthrough provides figures and Python/notebook downloads.
MPLBACKEND=Agg python -m pytest --cov=earthsciencekit --cov-report=term-missing
python -m ruff check .
python -m ruff format --check .
cd docs && make html
python -m build
Coverage enforces 100% of production statements, including validators and
visualization; test files alone are omitted. This metric does not establish
physical applicability. Tests include independent analytic solutions,
conservation balances, limiting cases and invalid-input contracts. Exact release
results are in VERIFICATION.md; model limits are in docs/source/limitations.rst.
The documentation is hosted at https://cpoli.github.io/earthsciencekit/, and
notebooks/quickstart.ipynb runs in Colab from the badge above.
See CONTRIBUTING.md. Educational models should have explicit equations, units, assumptions, independent benchmarks and an executable example. The MIT license is in LICENSE. Please cite this software using CITATION.cff.