hymod links

docs/source/A2.4_hymod.rst

@@ -142,6 +142,8 @@ H. V., & Sorooshian, S. (2001). A framework for development and
 application of hydrological models. Hydrology and Earth System Sciences,
 5(1), 13-26.
 
+.. _inputs:
+
 1.2 Input data
 
 The HYMOD model only requires precipitation and potential
@@ -314,7 +316,7 @@ while rainfall labels are shown on the right y-axis.
 
 .. image:: _static/hymod1.png
 
-
+.. _baseline:
 1.3 Running a Baseline Model Simulation
 
 We’ll start our experiment by running HYMOD using its default
@@ -334,7 +336,8 @@ parameters.
     model = msdbook.hymod(Nq, Kq, Ks, Alp, Huz, B, leaf_data, ndays=4015)
 
 
-### 1.4 Model Outputs
+.. _outputs:
+1.4 Model Outputs
 
 Model outputs include actual evapotranspiration, quick and fast
 streamflow, and combined runoff. In this tutorial we focus on the total
@@ -402,6 +405,8 @@ observed streamflow and the LOG(RMSE) is fairly low.
 2- Global Sensitivity Analysis
 ==============================
 
+.. _sensitivity:
+
 2.1 Experimental Design and Setup
 
 Now we’ll examine how sensitive streamflow simulations generated by
@@ -590,6 +595,7 @@ observed streamflow.
 
 
 
+.. _sa_metrics:
 2.2 Sensitivity of streamflows to model parameters
 
 Now we’ll examine how each of HYMOD’s parameters impact the variance of
@@ -675,7 +681,10 @@ hardly affected by the routing parameters. Notably, there is very little
 interactions between parameters causing the total order indicies to be
 nearly identical to the first order indicies.
 
-## 2.3 How do different performance metrics affect the results of our
+
+.. _diff_performance:
+
+2.3 How do different performance metrics affect the results of our
 sensitivity analysis?
 
 Streamflow has many different properties. In this section, we discuss
@@ -916,6 +925,7 @@ interaction between Alp and Ks.
 
 
 
+.. _TVSA:
 2.4 Time-Varying Sensitivity Analysis
 
 In section 2.5 we saw how performing sensitivity analysis on different