diff --git a/examples/1ptracer/README.md b/examples/1ptracer/README.md
index 6bf2726c92e4037c5df9f7887040bd0aecf92c30..d627b2a39567868531a094f0b440535039a7a863 100644
--- a/examples/1ptracer/README.md
+++ b/examples/1ptracer/README.md
@@ -85,7 +85,8 @@ The primary variable used in this model is the tracer mass fraction $`X^\kappa`$
 
 In this example, all equations are discretized using cell-centered finite volumes with two-point flux
 approximation as spatial discretization scheme. For details on the discretization schemes available in
-DuMuX, have a look at the [handbook](https://dumux.org/handbook). We use the implicit Euler method as
+DuMuX, have a look at the [code documentation](https://dumux.org/docs/doxygen/master/group___discretization.html).
+We use the [implicit Euler method](https://dumux.org/docs/doxygen/master/basic-numerics.html) as
 time discretization scheme for the tracer component balance equation solved in the _tracer model_.
 
 # Implementation
diff --git a/examples/1ptracer/doc/_intro.md b/examples/1ptracer/doc/_intro.md
index 4b37aa1f5438da4ac13b28376fb725d3700475a8..9aeb98ff7fa862f71b4702e4ec65e7e587780dcb 100644
--- a/examples/1ptracer/doc/_intro.md
+++ b/examples/1ptracer/doc/_intro.md
@@ -83,7 +83,8 @@ The primary variable used in this model is the tracer mass fraction $`X^\kappa`$
 
 In this example, all equations are discretized using cell-centered finite volumes with two-point flux
 approximation as spatial discretization scheme. For details on the discretization schemes available in
-DuMuX, have a look at the [handbook](https://dumux.org/handbook). We use the implicit Euler method as
+DuMuX, have a look at the [code documentation](https://dumux.org/docs/doxygen/master/group___discretization.html).
+We use the [implicit Euler method](https://dumux.org/docs/doxygen/master/basic-numerics.html) as
 time discretization scheme for the tracer component balance equation solved in the _tracer model_.
 
 # Implementation
diff --git a/examples/2pinfiltration/README.md b/examples/2pinfiltration/README.md
index 1e64fe95cfb9052298d7c3d44b1b11a2073640a3..9d179cafb3a3ae13165150ec0fb8cd9c545cb6cb 100644
--- a/examples/2pinfiltration/README.md
+++ b/examples/2pinfiltration/README.md
@@ -56,7 +56,6 @@ In addition, the DNAPL is injected at a point source at x = 0.502m and y = 3.02m
 
 We discretize the equations with a cell-centered finite volume TPFA scheme in space and an implicit Euler scheme in time. We use Newton's method to solve the system of nonlinear equations.
 The grid is adapitvely refined around the injection. The adaptive behaviour can be changed with input parameters in the `params.input` file.
-For more information about the discretization please have a look at the [handbook](https://dumux.org/handbook).
 
 # Implementation
 
diff --git a/examples/2pinfiltration/doc/_intro.md b/examples/2pinfiltration/doc/_intro.md
index f6b8c23d276e4aebf57eaa42f6485e9335ba7ba0..2a5af295469cdfb328100983d8b71be2a1c99177 100644
--- a/examples/2pinfiltration/doc/_intro.md
+++ b/examples/2pinfiltration/doc/_intro.md
@@ -54,7 +54,6 @@ In addition, the DNAPL is injected at a point source at x = 0.502m and y = 3.02m
 
 We discretize the equations with a cell-centered finite volume TPFA scheme in space and an implicit Euler scheme in time. We use Newton's method to solve the system of nonlinear equations.
 The grid is adapitvely refined around the injection. The adaptive behaviour can be changed with input parameters in the `params.input` file.
-For more information about the discretization please have a look at the [handbook](https://dumux.org/handbook).
 
 # Implementation
 
diff --git a/examples/embedded_network_1d3d/README.md b/examples/embedded_network_1d3d/README.md
index 978a15e711bff2e829566495542ced4b664d365b..e100ab694451e75261ca329c2a38ce7f7df3d20b 100644
--- a/examples/embedded_network_1d3d/README.md
+++ b/examples/embedded_network_1d3d/README.md
@@ -65,7 +65,7 @@ as spatial discretization method with tracer mole fraction as primary variables.
 `Tracer` model, an advection-diffusion-reaction model for porous media. In time, we use an implicit Euler scheme.
 The arising linear system is solved with a stabilized bi-conjugate gradient solver (`BiCGSTAB`) with a block-diagonal
 zero-fill incomplete LU factorization (`ILU0`) preconditioner. For details on the spatial discretization scheme,
-we recommend the [DuMu<sup>x</sup> handbook](https://dumux.org/handbook)
+we recommend the [DuMu<sup>x</sup> documentation](https://dumux.org/docs/doxygen/master/group___discretization.html).
 or the [DuMu<sup>x</sup> paper](https://doi.org/10.1016/j.camwa.2020.02.012).
 
 # Implementation
diff --git a/examples/embedded_network_1d3d/doc/_intro.md b/examples/embedded_network_1d3d/doc/_intro.md
index 84604ceb015dea27e6d3806dbfd5d5e2757b2a96..8b0348d7849c90dd0756e4cb18740a867b96d265 100644
--- a/examples/embedded_network_1d3d/doc/_intro.md
+++ b/examples/embedded_network_1d3d/doc/_intro.md
@@ -63,7 +63,7 @@ as spatial discretization method with tracer mole fraction as primary variables.
 `Tracer` model, an advection-diffusion-reaction model for porous media. In time, we use an implicit Euler scheme.
 The arising linear system is solved with a stabilized bi-conjugate gradient solver (`BiCGSTAB`) with a block-diagonal
 zero-fill incomplete LU factorization (`ILU0`) preconditioner. For details on the spatial discretization scheme,
-we recommend the [DuMu<sup>x</sup> handbook](https://dumux.org/handbook)
+we recommend the [DuMu<sup>x</sup> documentation](https://dumux.org/docs/doxygen/master/group___discretization.html).
 or the [DuMu<sup>x</sup> paper](https://doi.org/10.1016/j.camwa.2020.02.012).
 
 # Implementation
diff --git a/examples/freeflowchannel/README.md b/examples/freeflowchannel/README.md
index 23a79587ebfb2a588aaaef7370287130977cdfcc..bbdcd71dab4875bdc4f2c0ae178848816047616a 100644
--- a/examples/freeflowchannel/README.md
+++ b/examples/freeflowchannel/README.md
@@ -36,7 +36,7 @@ Furthermore, isothermal conditions with a homogeneous temperature distribution o
 
 All equations are discretized with the staggered-grid finite-volume scheme as spatial discretization
 with pressures and velocity components as primary variables. For details on the discretization scheme,
-have a look at the Dumux [handbook](https://dumux.org/handbook).
+have a look at the DuMu<sup>x</sup> [documentation](https://dumux.org/docs/doxygen/master/group___discretization.html).
 
 ## Problem set-up
 This example considers stationary flow of a fluid between two parallel solid plates in two dimensions.
diff --git a/examples/freeflowchannel/doc/_intro.md b/examples/freeflowchannel/doc/_intro.md
index 4007f34ec7d73865499a4cb80fb854b458203eeb..d3325394f4043140dc6d66ee091b6aeac1113e09 100644
--- a/examples/freeflowchannel/doc/_intro.md
+++ b/examples/freeflowchannel/doc/_intro.md
@@ -34,7 +34,7 @@ Furthermore, isothermal conditions with a homogeneous temperature distribution o
 
 All equations are discretized with the staggered-grid finite-volume scheme as spatial discretization
 with pressures and velocity components as primary variables. For details on the discretization scheme,
-have a look at the Dumux [handbook](https://dumux.org/handbook).
+have a look at the DuMu<sup>x</sup> [documentation](https://dumux.org/docs/doxygen/master/group___discretization.html).
 
 ## Problem set-up
 This example considers stationary flow of a fluid between two parallel solid plates in two dimensions.
diff --git a/examples/liddrivencavity/README.md b/examples/liddrivencavity/README.md
index fc695a9400f8627cb25c4e02d8ba555741f4ca6f..c1b94d5fca758e5d7ca6da48287cde636121ee21 100644
--- a/examples/liddrivencavity/README.md
+++ b/examples/liddrivencavity/README.md
@@ -60,7 +60,7 @@ Mass and momentum balance are given by
 
 where $`\bold{v}`$ and p are the velocity and pressure of the fluid (primary variables). $`\rho`$ and $`\mu=\rho\nu`$ are the mass density and dynamic viscosity (fluid properties).
 
-All equations are discretized with the staggered-grid finite-volume scheme as spatial discretization with pressures and velocity components as primary variables. For details on the discretization scheme, we refer to the DuMu<sup>x</sup> [handbook](https://dumux.org/docs/handbook/master/dumux-handbook.pdf).
+All equations are discretized with the staggered-grid finite-volume scheme as spatial discretization with pressures and velocity components as primary variables. For details on the discretization scheme, we refer to the DuMu<sup>x</sup> [documentation](https://dumux.org/docs/doxygen/master/group___discretization.html).
 
 # Implementation & Postprocessing
 
diff --git a/examples/liddrivencavity/doc/_intro.md b/examples/liddrivencavity/doc/_intro.md
index c0de3615e964b6b90bd13adecc4d677e4c4bdcdc..063b8ae285e0604c51ec00d574d9361838152ea4 100644
--- a/examples/liddrivencavity/doc/_intro.md
+++ b/examples/liddrivencavity/doc/_intro.md
@@ -58,6 +58,6 @@ Mass and momentum balance are given by
 
 where $`\bold{v}`$ and p are the velocity and pressure of the fluid (primary variables). $`\rho`$ and $`\mu=\rho\nu`$ are the mass density and dynamic viscosity (fluid properties).
 
-All equations are discretized with the staggered-grid finite-volume scheme as spatial discretization with pressures and velocity components as primary variables. For details on the discretization scheme, we refer to the DuMu<sup>x</sup> [handbook](https://dumux.org/docs/handbook/master/dumux-handbook.pdf).
+All equations are discretized with the staggered-grid finite-volume scheme as spatial discretization with pressures and velocity components as primary variables. For details on the discretization scheme, we refer to the DuMu<sup>x</sup> [documentation](https://dumux.org/docs/doxygen/master/group___discretization.html).
 
 # Implementation & Postprocessing