diff --git a/.zenodo.json b/.zenodo.json
index 4e4b120..d42d92f 100644
--- a/.zenodo.json
+++ b/.zenodo.json
@@ -9,6 +9,11 @@
             "affiliation": "Netherlands eScience Center",
             "name": "Kalverla, Peter",
             "orcid": "0000-0002-5025-7862"
+        },
+        {
+            "affiliation": "Netherlands eScience Center",
+            "name": "Camphuijsen, Jaro",
+            "orcid": "0000-0002-8928-7831"
         }
     ],
     "description": "This software specifies the Jupyter Lab environment set up for the Horizon 2020 project \"European Climate Prediction\" (EUCP).",
diff --git a/CITATION.cff b/CITATION.cff
index ae0b664..afa9915 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -1,7 +1,7 @@
 # YAML 1.2
 ---
 abstract: "This software specifies the Jupyter Lab environment set up for the Horizon 2020 project \"European Climate Prediction\" (EUCP)."
-authors: 
+authors:
   -
     affiliation: "Netherlands eScience Center"
     family-names: Rol
@@ -12,6 +12,12 @@ authors:
     family-names: Kalverla
     given-names: Peter
     orcid: "https://orcid.org/0000-0002-5025-7862"
+  -
+    affiliation: "Netherlands eScience Center"
+    family-names: Camphuijsen
+    given-names: Jaro
+    orcid: "https://orcid.org/0000-0002-8928-7831"
+
 cff-version: "1.1.0"
 date-released: 2020-05-20
 doi: "10.5281/zenodo.3835951"
diff --git a/Dockerfile b/Dockerfile
index e567ebe..726517e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,13 +1,9 @@
 # Docker notebook for climate analysis - European Climate Prediction project
 
-FROM jupyter/datascience-notebook:1386e2046833
-
+FROM jupyter/datascience-notebook:3b1f4f5e6cc1
 
 LABEL maintainer="EUCP-NLESC <e.rol@esciencecenter.nl>"
 
-
-ENV PCRASTER_DIR=/usr/local/pcraster
-
 USER root
 
 RUN apt-get update \
@@ -36,71 +32,62 @@ RUN apt-get update \
  && apt-get clean \
  && rm -rf /var/lib/apt/lists/*
 
-RUN mkdir -p $PCRASTER_DIR \
- && chown $NB_UID $PCRASTER_DIR \
- && fix-permissions $PCRASTER_DIR
-
-
 USER $NB_UID
 
 # Notes:
 # - grads is not available under Conda
 # - installing ncl under Conda messes up the notebook; for example, the R kernel disappears from the menu
-# - Downgrade Matplotlib to 2.2 for Iris
 # - pyngl and pynio have incompatible dependencies with some other packages
-RUN conda install --quiet --yes --channel esmvalgroup --channel conda-forge --channel pcmdi/label/nightly --override-channels \
-    'python=3.7.6' \
+# - cfunits is not cf-units: cf(dm/-python/-lplot) uses cfunits, iris uses cf-units (imported as cf_units)
+
+RUN conda install --quiet --yes --channel esmvalgroup --channel pcmdi/label/nightly --channel ncas \
+    # Ensure backwards compatibility:
     'boost=1.72.0'\
-    'cartopy=0.17.0' \
+    'cartopy=0.18.0' \
     'cdms2=3.1.3' \
-    # 'cdo=1.5.3' \
-    'cftime=1.1.1.2' \
+    'cf-plot=3.0.20' \
+    'cf-python=3.1.0' \
+    'cfdm=1.7.11' \
     'cmor=2019.05.16.master.numpy' \
-    'dask=2.2.0' \
     'eofs=1.4.0' \
-    'esmpy=8.0.0' \
-    'gdal=3.0.4' \
-    'h5py=2.10.0' \
+    'esmvalcore=2.0.0b9' \
+    'esmvaltool-python=2.0.0b4' \
     'imod=0.9.0' \
-    'ipyleaflet=0.12.4' \
-    'ipywidgets=7.5.1' \
-    'iris=2.4.0' \
+    'ipyleaflet=0.12.6' \
     'iris-sample-data=2.2.0' \
+    'iris=2.4.0' \
+    'matplotlib=3.2.1' \
+    'metpy=0.12.1' \
     'nc-time-axis=1.2.0' \
-    'nco=4.9.1' \
-    'netcdf4=1.5.3' \
+    'nco=4.9.2' \
     'pcraster=4.3.0' \
-    'pyproj=2.6.0' \
-    'rasterio=1.1.3' \
+    'python-cdo=1.5.3' \
+    'python=3.7.6' \
     'xarray=0.15.1' \
     'zarr=2.4.0' \
-#    'esmvalcore' \
  && conda clean --all -f -y \
  && fix-permissions $CONDA_DIR \
  && fix-permissions /home/$NB_USER
 
-# For some reason, Conda's cdo does not appear to include the Python
-# interface, so it's installed through pip
-# The installation of cf-plot will install matplotlib 3.1, which is technically
-# different than 2.2; the latter is used by Iris.
-# Note: cfunits is not cf-units: cf(dm/-python/-lplot) uses cfunits,
-# Iris uses cf-units (imported as cf_units)
 RUN pip install \
-  cdo==1.5.3 \
-  cfdm==1.7.7 \
-  cf-python==3.0.1 \
-  cf-plot==3.0.5 \
-  cfunits==3.1.1 \
-  MetPy==0.11.1
+  flake8 \
+  black \
+  yapf \
+  autopep8 \
+  isort \
+  flake8-nb \
+  jupyterlab_code_formatter==1.3.1
 
-
-RUN pip install jupyterlab_thredds
-RUN jupyter labextension install @jupyter-widgets/jupyterlab-manager
 RUN jupyter labextension install jupyter-leaflet
-#RUN jupyter labextension install @ewatercycle/jupyterlab_thredds
-
-
-ENV PATH=${PATH}:${PCRASTER_DIR}/bin
-ENV PYTHONPATH=${PYTHONPATH}:${PCRASTER_DIR}/python
-# set path explicitly, because otherwise cfunits can't be imported
-ENV UDUNITS2_XML_PATH=/opt/conda/share/udunits/udunits2.xml
+RUN jupyter labextension install jupyterlab-flake8
+RUN jupyter labextension install @ryantam626/jupyterlab_code_formatter@1.3.1
+RUN jupyter serverextension enable --py jupyterlab_code_formatter
+
+# Try to enable thredds browser extension (see https://github.com/eWaterCycle/jupyterlab_thredds)
+# This doesn't actually seem to work in the notebook, so I'm disabling it for now.
+# RUN pip install jupyterlab_thredds && jupyter labextension install @ewatercycle/jupyterlab_thredds
+
+# These paths are set in the conda 'base' env, but that isn't activated by default on a local build.
+# to test: import cfunits in notebook, esmvaltool -h in a shell.
+# ENV UDUNITS2_XML_PATH=/opt/conda/share/udunits/udunits2.xml
+# ENV PROJ_LIB=/opt/conda/share/proj
diff --git a/README.md b/README.md
index 7bc1205..d56a4ad 100644
--- a/README.md
+++ b/README.md
@@ -5,17 +5,21 @@
 ![Docker Cloud Build Status](https://img.shields.io/docker/cloud/build/eucp/notebook)
 
 # EUCP Jupyterlab environment specification
+
 Dockerfile for the EUCP project - based on the Jupyter datascience notebook\
 [View on dockerhub](https://hub.docker.com/repository/docker/eucp/notebook/general)
 
 ## Branches
+
 - master: for regular development and updates. Merging via approved pull requests. Linked to 'latest' tag on dockerhub.
 - feature branches: make a separate branch for each PR/feature that you want to add.
 
 ## Releases
+
 - We'll configure the login environment such that you can select which release you want to use for your compute environment.
 
 ## Update process
+
 1. Checkout, build and run the docker image locally
 1. Make desired changes to the environment
 1. Build and run updated docker image locally for testing
@@ -28,10 +32,24 @@ Dockerfile for the EUCP project - based on the Jupyter datascience notebook\
 ## Changelog
 
 May 20, 2020:
+
+- Inherit from newer jupyter/datascience-notebook
+- Updated jupyter hub & jupyter lab versions
+- Added explicit dependency of matplotlib
+- Removed some packages as they are now part of base- or scipy-nb
+- Removed some packages as they were installed as dependencies of others
+- Moved all pip-installs to conda
+- Add esmvalcore and esmvaltool-python
+- Upgrade several packages to newer versions
+- Disable not-working jupyter-thredds plugin
+
+May 19, 2020:
+
 - Pin versions to current environment configuration
 - Add `package_list_for_change_diffs.txt` for keeping track of environment changes.
 
 May 18, 2020:
+
 - Start changelog
 - Enable autobuild on dockerhub
 - Create master and stable branches
diff --git a/package_list_for_change_diffs.txt b/package_list_for_change_diffs.txt
index b2f04f3..d4d641e 100644
--- a/package_list_for_change_diffs.txt
+++ b/package_list_for_change_diffs.txt
@@ -1,497 +1,546 @@
 # This file may be used to create an environment using:
 # $ conda create --name <env> --file <this file>
 # platform: linux-64
-_libgcc_mutex=0.1=main
+_libgcc_mutex=0.1=conda_forge
+_openmp_mutex=4.5=0_gnu
 _r-mutex=1.0.1=anacondar_1
 affine=2.3.0=py_0
-aiohttp=3.6.2=pypi_0
-alembic=1.1.0=py_0
+alembic=1.4.2=pyh9f0ad1d_0
 antlr-python-runtime=4.7.2=py37_1001
-appdirs=1.4.4=pypi_0
+appdirs=1.4.3=py_1
 asciitree=0.3.3=py_2
-asn1crypto=0.24.0=py37_1003
-async-timeout=3.0.1=pypi_0
 async_generator=1.10=py_0
-attrs=19.1.0=py_0
+attrs=19.3.0=py_0
 backcall=0.1.0=py_0
-beautifulsoup4=4.8.0=py37_0
-binutils_impl_linux-64=2.31.1=h6176602_1
-binutils_linux-64=2.31.1=h6176602_8
-blas=2.12=openblas
-bleach=3.1.0=py_0
+beautifulsoup4=4.9.0=py37hc8dfbb8_0
+binutils_impl_linux-64=2.34=h53a641e_0
+binutils_linux-64=2.34=hc952b39_18
+blas=2.14=openblas
+bleach=3.1.4=pyh9f0ad1d_0
 blinker=1.4=py_1
-bokeh=1.3.4=py37_0
+blosc=1.18.1=he1b5a44_0
+bokeh=2.0.1=py37hc8dfbb8_0
 boost=1.72.0=py37h9de70de_0
 boost-cpp=1.72.0=h8e57a91_0
+bottleneck=1.3.2=py37h03ebfcd_1
 branca=0.3.1=py_0
-bwidget=1.9.11=0
-bzip2=1.0.8=h516909a_0
+brotlipy=0.7.0=py37h8f50634_1000
+bwidget=1.9.14=0
+bzip2=1.0.8=h516909a_2
 ca-certificates=2020.4.5.1=hecc5488_0
-cairo=1.16.0=hfb77d84_1002
-cartopy=0.17.0=py37h6078e7d_1013
+cairo=1.16.0=hcf35c78_1003
+cartopy=0.18.0=py37h4b180d9_0
 cdat_info=8.2=py_7
 cdms2=3.1.3=pypi_0
-cdo=1.5.3=pypi_0
-cdtime=3.1.3=py37ha439f24_1
+cdo=1.9.8=h6e5f144_8
+cdsapi=0.2.7=py_0
+cdtime=3.1.3=py37h006a570_3
 certifi=2020.4.5.1=py37hc8dfbb8_0
 certipy=0.1.3=py_0
-cf-plot=3.0.5=pypi_0
-cf-python=3.0.1=pypi_0
+cf-plot=3.0.20=py37h39e3cac_0
+cf-python=3.1.0=py37_0
 cf-units=2.1.4=py37h03ebfcd_0
-cfdm=1.7.7=pypi_0
-cffi=1.12.3=py37h8022711_0
-cfitsio=3.470=hb60a0a2_2
-cftime=1.1.1.2=py37h03ebfcd_0
-cfunits=3.1.1=pypi_0
-chardet=3.0.4=py37_1003
-click=7.0=py_0
+cfdm=1.7.11=py37_0
+cffi=1.14.0=py37hd463f26_0
+cfitsio=3.470=h3eac812_5
+cftime=1.1.3=py37h03ebfcd_0
+cfunits=3.2.4=py37_0
+chardet=3.0.4=py37hc8dfbb8_1006
+click=7.1.2=pyh9f0ad1d_0
 click-plugins=1.1.1=py_0
 cligj=0.5.0=py_0
-cloudpickle=1.2.2=py_0
+cloudpickle=1.4.1=py_0
+cmocean=2.0=py_3
 cmor=2019.05.16.master.numpy=py37h9ac9557_0
-conda=4.7.10=py37_0
-conda-package-handling=1.4.0=py37_0
-configurable-http-proxy=4.1.0=node11_1
-cryptography=2.7=py37h72c5cf5_0
-curl=7.65.3=hf8cf82a_0
-cycler=0.10.0=py_1
-cython=0.29.13=py37he1b5a44_0
-cytoolz=0.10.0=py37h516909a_0
-dask=2.2.0=py_0
-dask-core=2.2.0=py_0
+colorspacious=1.1.2=pyh24bf2e0_0
+conda=4.8.2=py37_0
+conda-package-handling=1.6.0=py37h8f50634_2
+configurable-http-proxy=4.2.1=node13_he01fd0c_0
+cryptography=2.9.2=py37hb09aad4_0
+curl=7.69.1=h33f0ec9_0
+cycler=0.10.0=py_2
+cython=0.29.17=py37h3340039_0
+cytoolz=0.10.1=py37h516909a_0
+dask=2.15.0=py_0
+dask-core=2.15.0=py_0
 dbus=1.13.6=he372182_0
-decorator=4.4.0=py_0
-defusedxml=0.5.0=py_1
-dill=0.3.0=py37_2
+decorator=4.4.2=py_0
+defusedxml=0.6.0=py_0
+dill=0.3.1.1=py37hc8dfbb8_1
 distarray=2.12.2=py_1
-distributed=2.3.2=py_1
-entrypoints=0.3=py37_1000
+distributed=2.15.2=py37hc8dfbb8_0
+eccodes=2.17.0=h59f7be3_1
+ecmwf-api-client=1.5.4=py_0
+entrypoints=0.3=py37hc8dfbb8_1001
 eofs=1.4.0=py_0
-esmf=8.0.0=nompi_he6d0a24_5
+esmf=8.0.0=nompi_hb0fcdcb_6
 esmpy=8.0.0=nompi_py37hf0e99fa_1
+esmvalcore=2.0.0b9=py_0
+esmvaltool-python=2.0.0b4=py_0
 expat=2.2.9=he1b5a44_2
-fastcache=1.1.0=py37h516909a_0
+fastcache=1.1.0=py37h8f50634_1
 fasteners=0.14.1=py_3
+fftw=3.3.8=nompi_h7f3a6c3_1110
 fiona=1.8.13=py37h0492a4a_1
 fontconfig=2.13.1=h86ecdb6_1001
-freetype=2.10.0=he983fc9_1
+freetype=2.10.1=he06d7ca_0
 freexl=1.0.5=h14c3975_1002
-fribidi=1.0.5=h516909a_1002
-fsspec=0.4.4=py_0
+fribidi=1.0.9=h516909a_0
+fsspec=0.7.3=py_0
 future=0.18.2=py37hc8dfbb8_1
 g2clib=1.6.0=hf3f1b0b_9
-gcc_impl_linux-64=7.3.0=habb00fd_1
-gcc_linux-64=7.3.0=h553295d_8
-gdal=3.0.4=py37h4b180d9_2
+gcc_impl_linux-64=7.3.0=hd420e75_5
+gcc_linux-64=7.3.0=h553295d_18
+gdal=3.0.4=py37h4b180d9_6
 geopandas=0.7.0=py_1
 geos=3.8.1=he1b5a44_0
-geotiff=1.5.1=hcbe54f9_9
+geotiff=1.5.1=h05acad5_10
 gettext=0.19.8.1=hc5be6a0_1002
-gfortran_impl_linux-64=7.3.0=hdf63c60_1
-gfortran_linux-64=7.3.0=h553295d_8
+gfortran_impl_linux-64=7.3.0=hdf63c60_5
+gfortran_linux-64=7.3.0=h553295d_18
 giflib=5.2.1=h516909a_2
-glib=2.58.3=h6f030ca_1002
-gmp=6.1.2=hf484d3e_1000
+glib=2.64.2=h6f030ca_0
+gmp=6.2.0=he1b5a44_2
 gmpy2=2.1.0b1=py37h04dde30_0
-graphite2=1.3.13=hf484d3e_1000
-gsl=2.5=h294904e_1
+graphite2=1.3.13=he1b5a44_1001
+graphviz=2.42.3=h0511662_0
+gsl=2.6=h294904e_0
 gst-plugins-base=1.14.5=h0935bb2_2
 gstreamer=1.14.5=h36ae1b5_2
-gxx_impl_linux-64=7.3.0=hdf63c60_1
-gxx_linux-64=7.3.0=h553295d_8
+gxx_impl_linux-64=7.3.0=hdf63c60_5
+gxx_linux-64=7.3.0=h553295d_18
 h5py=2.10.0=nompi_py37h513d04c_102
 harfbuzz=2.4.0=h9f30f68_3
 hdf4=4.2.13=hf30be14_1003
-hdf5=1.10.5=nompi_h3c11f04_1103
-heapdict=1.0.0=py37_1000
-icu=64.2=he1b5a44_0
-idna=2.8=py37_1000
-imageio=2.5.0=py37_0
+hdf5=1.10.5=nompi_h3c11f04_1104
+heapdict=1.0.1=py_0
+html5lib=1.0.1=py_0
+icu=64.2=he1b5a44_1
+idna=2.9=py_1
+imageio=2.8.0=py_0
 imod=0.9.0=py_1
-ipykernel=5.1.2=py37h5ca1d4c_0
-ipyleaflet=0.12.4=pyh9f0ad1d_0
-ipython=7.8.0=py37h5ca1d4c_0
+importlib-metadata=1.6.0=py37hc8dfbb8_0
+importlib_metadata=1.6.0=0
+ipykernel=5.2.1=py37h43977f1_0
+ipyleaflet=0.12.6=pyh9f0ad1d_0
+ipympl=0.5.6=pyh9f0ad1d_1
+ipython=7.14.0=py37hc8dfbb8_0
 ipython_genutils=0.2.0=py_1
 ipywidgets=7.5.1=py_0
 iris=2.4.0=py37_0
 iris-sample-data=2.2.0=py_0
+isodate=0.6.0=py_1
 jasper=1.900.1=h07fcdf6_1006
-jedi=0.15.1=py37_0
-jinja2=2.10.1=py_0
-joblib=0.13.2=py_0
+jedi=0.17.0=py37hc8dfbb8_0
+jinja2=2.11.2=pyh9f0ad1d_0
+joblib=0.14.1=py_0
 jpeg=9c=h14c3975_1001
 json-c=0.13.1=hbfbb72e_1002
-json5=0.8.5=py_0
-jsonschema=3.0.2=py37_0
-jupyter_client=5.3.1=py_0
-jupyter_core=4.4.0=py_0
-jupyterhub=1.0.0=py37_0
-jupyterlab=1.1.3=py_0
-jupyterlab-thredds=0.4.1=pypi_0
-jupyterlab_server=1.0.6=py_0
+json5=0.9.0=py_0
+jsonschema=3.2.0=py37hc8dfbb8_1
+jupyter_client=6.1.3=py_0
+jupyter_core=4.6.3=py37hc8dfbb8_1
+jupyter_telemetry=0.0.5=py_0
+jupyterhub=1.1.0=py37_2
+jupyterhub-base=1.1.0=py37_2
+jupyterlab=2.1.1=py_0
+jupyterlab_server=1.1.1=py_0
 kealib=1.4.13=hec59c27_0
-kiwisolver=1.1.0=py37hc9558a2_0
-krb5=1.16.4=h2fd8d38_0
+keepalive=0.5=py_1
+kiwisolver=1.2.0=py37h99015e2_0
+krb5=1.17.1=h2fd8d38_0
 lazy-object-proxy=1.4.3=py37h8f50634_2
 ld_impl_linux-64=2.34=h53a641e_0
-libarchive=3.3.3=hc47fbbf_1007
-libblas=3.8.0=12_openblas
-libcblas=3.8.0=12_openblas
-libcdms=3.1.2=ha54dda3_8
-libcf=1.0.3=py37hdee1361_5
+libaec=1.0.4=he1b5a44_1
+libblas=3.8.0=14_openblas
+libcblas=3.8.0=14_openblas
+libcdms=3.1.2=hf60d256_111
+libcf=1.0.3=py37hda0e254_108
 libclang=9.0.1=default_hde54327_0
-libcurl=7.65.3=hda55be3_0
-libdap4=3.20.4=hd3bb157_0
-libdrs=3.1.2=h9b7ed86_9
-libdrs_f=3.1.2=h322d3c2_5
+libcurl=7.69.1=hf7181ac_0
+libdap4=3.20.6=h1d1bd15_0
+libdrs=3.1.2=hc2e2db3_112
+libdrs_f=3.1.2=hae7e664_110
 libedit=3.1.20170329=hf8c457e_1001
-libffi=3.2.1=he1b5a44_1006
-libgcc-ng=9.1.0=hdf63c60_0
-libgdal=3.0.4=hce44138_2
-libgfortran-ng=7.3.0=hdf63c60_0
+libffi=3.2.1=he1b5a44_1007
+libgcc-ng=9.2.0=h24d8f2e_2
+libgdal=3.0.4=h3dfc09a_6
+libgfortran-ng=7.3.0=hdf63c60_5
 libglu=9.0.0=he1b5a44_1001
-libiconv=1.15=h516909a_1005
+libgomp=9.2.0=h24d8f2e_2
+libiconv=1.15=h516909a_1006
 libkml=1.3.0=hb574062_1011
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