> For the complete documentation index, see [llms.txt](https://docs.algenta.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.algenta.ai/earth-and-planetary-sciences.md). # Earth & planetary sciences - [Solid-Earth geophysics](https://docs.algenta.ai/earth-and-planetary-sciences/solid-earth-geophysics-kernels.md): WGS84 geodesy and coordinate conversion, gravity/magnetic/seismic-velocity survey formulas, earthquake magnitude and travel-time relations, and simplified volcanic-eruption dynamics. - [Surface processes & geomorphology](https://docs.algenta.ai/earth-and-planetary-sciences/surface-processes-and-geomorphology-kernels.md): Landform evolution and fluvial morphometrics, soil/rock mechanics for construction, soil formation and classification science, and sediment transport/grain-size statistics, across four independent sca - [Hydrology & water systems](https://docs.algenta.ai/earth-and-planetary-sciences/hydrology-and-water-systems-kernels.md): Surface hydraulics, groundwater flow, lake physics and chemistry, ocean dynamics, storm-water meteorology and the vegetation-water interface across seven independent kernel modules. - [Historical geology & paleoclimate](https://docs.algenta.ai/earth-and-planetary-sciences/historical-geology-and-paleoclimate-kernels.md): Radiometric dating, rock-magnetic paleolatitude, sediment-layer age modeling, and ice-sheet mass balance across four independent Earth-history kernel modules. - [Speleology, mineralogy & geochemistry](https://docs.algenta.ai/earth-and-planetary-sciences/speleology-mineralogy-and-geochemistry-kernels.md): Cave hydrology, speleothem dating, and cave-radio physics; mineral identification and crystal chemistry; X-ray diffraction and unit-cell geometry; and the trace-element, isotope, and elemental-cycling - [Cartography, planetary & cosmic sciences](https://docs.algenta.ai/earth-and-planetary-sciences/cartography-and-planetary-cosmic-sciences-kernels.md): Map-scale and projection arithmetic for cartography, Julian-date and orbital-mechanics formulas for astronomy, Hubble-law cosmology and blackbody radiation laws, and habitability/biosignature scoring - [Atmospheric chemistry, climate & meteorology](https://docs.algenta.ai/earth-and-planetary-sciences/atmospheric-chemistry-and-climate-kernels.md): Gas-phase photochemistry and pollutant-lifetime formulas, plus two independently-implemented single-point weather-index toolkits that compute instantaneous psychrometric conditions rather than long-te - [Earth, electrical, and neurophysics kernels](https://docs.algenta.ai/earth-and-planetary-sciences/earth-electrical-and-neurophysics-kernels.md): Spherical-Earth navigation math, textbook DC/AC circuit-theory formulas, and the biophysics of neuron membranes and action potentials, across three unrelated small Float64 kernel modules. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.algenta.ai/earth-and-planetary-sciences.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.