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+# FATES
+
+FATES (Functionally Assembled Terrestrial Ecosystem Simulator) is a numerical terrestrial ecosystem model
+hat can be utilized as a component with various host land models such as ELM.  It is incorporated as an
+external module, the development of which is primarily supported by the Department of Energy’s Office of
+Science, through the [Next Generation Ecosystem Experiment - Tropics (NGEE-T) project](https://ngee-tropics.lbl.gov/).
+
+The FATES code is hosted online through a github repository at [https://github.com/NGEET/fates](https://github.com/NGEET/fates).
+
+## Technical Document
+
+The full FATES documentation detailing the scientific underpinnings of the model can be found in the
+[FATES Technical Document](https://fates-users-guide.readthedocs.io/projects/tech-doc/en/stable/)
+hosted on ReadTheDocs.
+
+## User's and Developer's Guide
+
+The FATES team also provides a [User's guide](https://fates-users-guide.readthedocs.io/en/latest/user/users-guide.html)
+and a [Developer's guide](https://fates-users-guide.readthedocs.io/en/latest/developer/developer-guide.html)
+also hosted on ReadTheDocs.  Both guides and the technical documentation can be reached from the top level
+[User's Guide](https://fates-users-guide.readthedocs.io/en/latest/index.html)
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-start of the ELM User's Guide
+# ELM User's Guide
+
+This User's Guide describes how to set up and run ELM.
+
+## Steps to build and run ELM
+
+A step-by-step instruction on how to run fully coupled E3SM can be found [here](https://acme-climate.atlassian.net/wiki/spaces/DOC/pages/2309226536). Here we describe running ELM driven by atmospheric forcings provided via the data atmosphere (DATM) model for configurations that are used in the E3SM water cycle v3 campaign.
+
+The water cycle campaigns of E3SM v1 and v2 used ELM's satellite phenology mode (SP-mode) in which a prescribed leaf area index is used in ELM. However, the E3SM v3 water cycle campaign uses an interactive phenology by including an active biogeochemistry (BGC) cycle in ELM. Additionally, a parameterization of sub-grid topographical effects on solar radiation is included within ELM.
+
+### Scientifically supported compsets
+
+The land-only compsets are referred to as "I"-compset and are supported for the following time periods: pre-industrial (1850) and historical transient (20TR). Additionally, multiple atmospheric forcing datasets can be used to drive the ELM simulations. The supported compsets are:
+
+1. `I1850GSWCNPRDCTCBCTOP`: Pre-industrial ELM simulation using atmospheric forcings from GSWP3 reanalysis dataset
+2. `I20TRGSWCNPRDCTCBCTOP`: Historical ELM simulation using GSWP atmospheric forcings with time varying greenhouse gas forcing and land use, land cover dataset (year 1850-2014).
+
+The E3SM coupler output forcings are most commonly used as an offline land model spinup step, in preparation for a fully-coupled E3SM experiment.
+
+### Supported grid
+
+The `r05_r05` is the supported grid resolution for performing offline ELM simulation.
+
+## Customizing runs
+
+Few useful changes to `user_nl_elm`
+
+### Changing monthly output file
+
+ELM by default outputs monthly history file in `*elm.h0.**.nc` files
+that include many variables (>200). At times, many of the default output
+variables may not be of interest, thus one could remove all default variables
+(via `hist_empty_htapes`) and only include select variables (via `hist_fincl1`)
+to the monthly history files by
+
+```fortran
+   &elm_inparm
+     hist_empty_htapes = .true.
+     hist_fincl1 = 'TG', 'TV', 'FSA'
+   /
+```
+
+#### Saving additional output files
+
+ELM can output additional history files (such as `*elm.h1.*.nc`, `*elm.h2.*.nc`)
+that have different temporal averaging (e.g. daily, hourly, every model timestep) via
+`hist_nhtfrq` where
+
+- `-24` corresponds to daily average
+- `-1` corresponds to hourly average
+- `0` corresponds to monthly average
+- `1` corresponds to each model time step
+
+The number of time slices in these additional files can be controlled
+vai `hist_mfilt`.
+
+```fortran
+   &elm_inparm
+     hist_fincl2 = 'TG'
+     hist_fincl3 = 'TV'
+     hist_fincl4 = 'TG', 'TV', 'FSA'
+     hist_nhtfrq = 0, -24, -1, 1
+     hist_mfilt  = 12, 30, 24, 48
+   /
+```
+
+Using the above-mentioned settings:
+
+- Each `*.elm.h1.*.nc` will include 30 daily average values of `TG`
+- Each `*.elm.h2.*.nc` will include 24 hourly average values of `TV`
+- Each `*.elm.h3.*.nc` will include 48 values of `TG`, `TV`, and `FSA` at
+  each model time step, which is typically is 30 min.
+
+## Running with FATES
+
+[FATES](fates.md) can be run in various modes with ELM through the use of namelist settings.
+The [FATES User's Guide section on namelist options](https://fates-users-guide.readthedocs.io/en/latest/user/Namelist-Options-and-Run-Time-Modes.html)
+provides guidance on enabling these different FATES run modes.