diff --git a/src/kbmod_wf/task_impls/__init__.py b/src/kbmod_wf/task_impls/__init__.py
index eef1ad26..9da9be25 100644
--- a/src/kbmod_wf/task_impls/__init__.py
+++ b/src/kbmod_wf/task_impls/__init__.py
@@ -2,6 +2,8 @@
 from .kbmod_search import kbmod_search
 from .uri_to_ic import uri_to_ic
 
+from .uncertainty_propagation import *
+
 __all__ = [
     "ic_to_wu",
     "kbmod_search",
diff --git a/src/kbmod_wf/task_impls/uncertainty_propagation.py b/src/kbmod_wf/task_impls/uncertainty_propagation.py
new file mode 100644
index 00000000..e69de29b
diff --git a/src/kbmod_wf/wu_to_uncertainties_workflow.py b/src/kbmod_wf/wu_to_uncertainties_workflow.py
new file mode 100644
index 00000000..45dc0103
--- /dev/null
+++ b/src/kbmod_wf/wu_to_uncertainties_workflow.py
@@ -0,0 +1,255 @@
+import argparse
+import os
+
+import toml
+import parsl
+from parsl import python_app, File
+import parsl.executors
+
+from kbmod_wf.utilities import (
+    apply_runtime_updates,
+    get_resource_config,
+    get_executors,
+    get_configured_logger,
+)
+
+@python_app(
+    cache=True,
+    executors=get_executors(["local_dev_testing", "gpu"]), # TODO verify if gpu is needed
+    ignore_for_cache=["logging_file"],
+)
+def get_uncertainties(inputs=(), outputs=(), runtime_config={}, logging_file=None):
+    """Loads a WorkUnit and KBMOD results and calculates the uncertaintties for those results 
+
+    Parameters
+    ----------
+    inputs : `tuple` or `list`
+        Order sensitive input to the Python App.
+    outputs : `tuple` or `list`
+        Order sensitive output of the Python App.
+    runtime_config : `dict`, optional
+        Runtime configuration values. Keys ``butler_config_filepath``,
+        ``search_config_filepath`` and ``n_workers`` will be consumed
+        if they exist.
+    logging_file : `File` or `None`, optional
+        Parsl File object poiting to the output logging file.
+
+    Returns
+    -------
+    outputs : `tuple` or `list`
+        Order sensitive output of the Python App.
+
+    Inputs
+    ----------
+    wu_file : `File`
+        Parsl File object pointing to the WorkUnit.
+    res_file : `File`
+        KBMOD results file corresponding to this WorkUnit.
+    uuids : `list`
+        List of UUID hex representations corresponding to results we want to
+        measure uncertainties for. If empty, all results will be used.
+
+    Outputs
+    -------
+    workunit_path : `File`
+        Parsl File object poiting to the resampled WorkUnit.
+    """    
+    import json
+
+    import numpy as np
+    from astropy.table import Table
+
+    from kbmod.work_unit import WorkUnit
+    from kbmod.trajectory_explorer import TrajectoryExplorer
+
+    from kbmod_wf.task_impls import calc_skypos_uncerts
+    from kbmod_wf.utilities.logger_utilities import get_configured_logger, ErrorLogger
+    logger = get_configured_logger("workflow.get_uncertainties", logging_file.filepath)
+
+    with ErrorLogger(logger):
+        logger.info("Starting getting uncertainties.")
+
+        if os.path.exists(outputs[0].filepath):
+            logger.info("Finished step 2. Uncertainties exist.")
+            return outputs
+        
+        wu_path = inputs[0].filepath
+        res_path = inputs[1].filepath
+        uuids = inputs[2]
+
+        # Load the WorkUnit
+        wu = None
+        try:
+            wu = WorkUnit.from_fits(wu_path)
+            logger.info(f"Loaded WorkUnit from fits")
+        except Exception as e:
+            wu_filename = os.path.basename(wu_path)
+            wu_dir = os.path.dirname(wu_path)
+            wu = WorkUnit.from_sharded_fits(wu_filename, wu_dir, lazy=False)
+            logger.info(f"Loaded WorkUnit from sharded fits")
+
+        # Load results from this WorkUnit
+        results = Table.read(res_path)
+        explorer = TrajectoryExplorer(wu.im_stack)
+
+        wcs = wu.wcs
+
+        uuids2, pgs, startt, endt = [], [], [], []
+        p1ra, p1dec, sigma_p1ra, sigma_p1dec = [], [], [], []
+        p2ra, p2dec, sigma_p2ra, sigma_p2dec = [], [], [], []
+        likelihoods, uncerts = [], []
+
+        if len(uuids) > 0:
+            # If the user specified a list of UUIDs, filter the results to just those UUIDs
+            results.table = results.table[results["uuid"].isin(uuids)]
+
+        for r in results:
+            # TODO Make UUIDs required
+            uuid = r["uuid"] if "uuid" in r.table.colnames else -1
+            samples = explorer.evaluate_around_linear_trajectory(
+                r["x"][0],
+                r["y"][0],
+                r["vx"][0], 
+                r["vy"][0],
+                pixel_radius=10,
+                max_ang_offset=0.785397999997775,  # np.pi/4
+                ang_step=1.5*0.0174533,  # deg2rad
+                max_vel_offset=45,
+                vel_step=0.55,
+            )
+
+            maxl = samples["likelihood"].max()
+            bestfit = samples[samples["likelihood"] == maxl]
+            # happens when oversampling
+            if len(bestfit) > 1:
+                bestfit = bestfit[:1]
+
+            # Get the valid obstimes that were used this result
+            valid_obstimes = []
+            for i in range(len(r["obs_valid"])):
+                if r["obs_valid"][i]:
+                    valid_obstimes.append(wu.im_stack.get_obstime(i))
+
+            mjd_start = min(valid_obstimes)
+            mjd_end = max(valid_obstimes)
+
+            start_coord, end_coord, uncert = calc_skypos_uncerts(
+                samples,
+                mjd_start,
+                mjd_end,
+                wcs
+            )
+
+            uuids2.append(uuid)
+            startt.append(mjd_start)
+            endt.append(mjd_end)
+            likelihoods.append(maxl)
+            p1ra.append(start_coord.ra.deg)
+            p1dec.append(start_coord.dec.deg)
+            p2ra.append(end_coord.ra.deg)
+            p2dec.append(end_coord.dec.deg)
+            sigma_p1ra.append(uncert[0,0])
+            sigma_p1dec.append(uncert[1,1])
+            sigma_p2ra.append(uncert[2,2])
+            sigma_p2dec.append(uncert[3,3])
+            uncerts.append(uncert)
+
+        t = Table({
+            "likelihood": likelihoods,
+            "p1ra": p1ra,
+            "p1dec": p1dec,
+            "p2ra": p2ra,
+            "p2dec": p2dec,
+            "sigma_p1ra": np.sqrt(sigma_p1ra),
+            "sigma_p1dec": np.sqrt(sigma_p1dec),
+            "sigma_p2ra": np.sqrt(sigma_p2ra),
+            "sigma_p2dec": np.sqrt(sigma_p2dec),
+            "uncertainty": uncerts,
+            "uuid": uuids2,
+            "t0": startt,
+            "t1": endt
+        })
+        t.write(outputs[0].filepath, format="ascii.ecsv", overwrite=True)
+        logger.info("Finished step 2.")
+
+    return outputs
+
+
+
+def workflow_runner(env=None, runtime_config={}):
+    """This function will load and configure Parsl, and run the workflow.
+
+    Parameters
+    ----------
+    env : str, optional
+        Environment string used to define which resource configuration to use,
+        by default None
+    runtime_config : dict, optional
+        Dictionary of assorted runtime configuration parameters, by default {}
+    """
+    resource_config = get_resource_config(env=env)
+    resource_config = apply_runtime_updates(resource_config, runtime_config)
+
+    app_configs = runtime_config.get("apps", {})
+
+    dfk = parsl.load(resource_config)
+    if dfk:
+        logging_file = File(os.path.join(dfk.run_dir, "kbmod.log"))
+        logger = get_configured_logger("workflow.workflow_runner", logging_file.filepath)
+
+        if runtime_config is not None:
+            logger.info(f"Using runtime configuration definition:\n{toml.dumps(runtime_config)}")
+
+        logger.info("Starting workflow")
+
+        runtime_config=app_configs.get("get_uncertainties", {})
+
+        # Get filenames from runtime config
+        wu_path = runtime_config.get("wu_path", None)
+        wu_name = os.path.basename(wu_path)
+        res_path = runtime_config.get("res_path", None)
+        uuids = runtime_config.get("uuids", [])
+        output_dir = runtime_config.get("output_dir", os.getcwd())
+
+        # create output directory if it doesn't exist
+        os.makedirs(output_dir, exist_ok=True)
+      
+        # run kbmod search on each reprojected WorkUnit
+        uncertainty_future = get_uncertainties(
+                inputs=[File(wu_path), File(res_path), uuids],
+                outputs=[File(os.path.join(output_dir, f"{wu_name}.meas"))],
+                runtime_config=app_configs.get("kbmod_search", {}),
+                logging_file=logging_file,
+            )
+        uncertainty_future.result()
+        dfk.wait_for_current_tasks()
+
+        logger.info("Workflow complete")
+
+    parsl.clear()
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--env",
+        type=str,
+        choices=["dev", "klone", "usdf"],
+        help="The environment to run the workflow in.",
+    )
+
+    parser.add_argument(
+        "--runtime-config",
+        type=str,
+        help="The complete runtime configuration filepath to use for the workflow.",
+    )
+
+    args = parser.parse_args()
+
+    # if a runtime_config file was provided and exists, load the toml as a dict.
+    runtime_config = {}
+    if args.runtime_config is not None and os.path.exists(args.runtime_config):
+        with open(args.runtime_config, "r") as toml_runtime_config:
+            runtime_config = toml.load(toml_runtime_config)
+
+    workflow_runner(env=args.env, runtime_config=runtime_config)
diff --git a/uncertainties_runtime_config.toml b/uncertainties_runtime_config.toml
new file mode 100644
index 00000000..ec3f8cd5
--- /dev/null
+++ b/uncertainties_runtime_config.toml
@@ -0,0 +1,25 @@
+# Example parsl config associated with wu_to_uncertainties_workflow.python_app
+# To run on USDF, run:
+# python /[YOUR_BASE_PATH]/kbmod-wf/src/kbmod_wf/wu_to_uncertainties_workflow.py --runtime-config=[PATH OF THIS RUNTIME CONFIG] --env=usdf
+
+# All values set here will be applied to the resource configuration prior to 
+# calling parsl.load(config). Even if the key does't exist in the resource
+# config, it will be added with the value defined here.
+[resource_config_modifiers]
+checkpoint_mode = 'task_exit'
+
+# Values in the apps.XXX section will be passed as a dictionary to the corresponding
+# app. e.g. apps.create_uri_manifest will be passed to the create_uri_manifest app.
+[apps.get_uncertainties]
+
+# The path of a resampled workunit to process
+wu_path = "" # TODO update
+
+# Path of a KBMOD results file produced from a run on the resampled workunit
+res_path = "" # TODO Update
+
+# If the KBMOD results has a uuid column only, get uncertainties for these uuids. Otherwise, get_uncertainties for all provided results.
+# uuids = [] # Add if needed
+
+# The output directory to write the file with uncertainties to 
+output_dir = "" # TODO Update