pipt tutorial (#67)

* Small update to handle ensemble keywords

* Added tutorial for pipt

* Update README.md

* Update README.md

README.md

@@ -67,7 +67,8 @@ python3 -m pip install -e .
 PET needs to be set up with a configuration file. See the example folder for inspiration.
 
 ## Tutorials
-A POPT tutorial is found [here](https://github.com/Python-Ensemble-Toolbox/PET/blob/main/docs/tutorials/popt/tutorial_popt.ipynb)
+- A POPT tutorial is found [here](https://github.com/Python-Ensemble-Toolbox/PET/blob/main/docs/tutorials/popt/tutorial_popt.ipynb)
+- A PIPT tutorial is found [here](https://github.com/Python-Ensemble-Toolbox/PET/blob/main/docs/tutorials/pipt/tutorial_pipt.ipynb)
 
 ## Suggested readings:
 

docs/tutorials/pipt/3D_ESMDA.toml

@@ -0,0 +1,39 @@
+[ensemble]
+ne = 50.0
+state = "permx"
+prior_permx = [["vario", "sph"], ["mean", "priormean.npz"], ["var", 1.0], ["range", 10.0], ["aniso", 1.0],
+               ["angle", 0.0], ["grid", [10.0, 10.0, 2.0]]]
+
+[dataassim]
+daalg = ["esmda", "esmda"]
+analysis = "approx"
+energy = 98.0
+obsvarsave = "yes"
+restartsave = "no"
+analysisdebug = ["pred_data", "state", "data_misfit", "prev_data_misfit"]
+restart = "no"
+obsname = "days"
+
+truedataindex = [400, 800, 1200, 1600, 2000, 2400, 2800, 3200, 3600, 4000]
+truedata = "true_data.csv"
+assimindex = [0,1,2,3,4,5,6,7,8,9]
+datatype = ["WOPR PRO1", "WOPR PRO2", "WOPR PRO3", "WWPR PRO1", "WWPR PRO2",
+            "WWPR PRO3", "WWIR INJ1", "WWIR INJ2", "WWIR INJ3"]
+staticvar = "permx"
+
+datavar = "var.csv"
+
+mda = [ ["tot_assim_steps", 3], ['inflation_param', [2, 4, 4]] ]
+
+[fwdsim]
+reporttype = "days"
+reportpoint = [400, 800, 1200, 1600, 2000, 2400, 2800, 3200, 3600, 4000]
+replace = "yes"
+saveforecast = "yes"
+sim_limit = 300.0
+rerun = 1
+runfile = "runfile"
+datatype = ["WOPR PRO1", "WOPR PRO2", "WOPR PRO3", "WWPR PRO1", "WWPR PRO2",
+            "WWPR PRO3", "WWIR INJ1", "WWIR INJ2", "WWIR INJ3"]
+parallel = 4
+startdate = "1/1/2022"