diff --git a/conda-linux-64.lock b/conda-linux-64.lock
index 35bd51f..d8dd3f9 100644
--- a/conda-linux-64.lock
+++ b/conda-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 6772174c923c8e24535de0be16fb8fa256d3afe3d14c0d1f2339de2e7f357519
+# input_hash: 80bd1797e1ae1e9963cfebe89731d9dc9f812364c42b6b08efd77ec560f4ac78
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda#2f4327a1cbe7f022401b236e915a5fef
@@ -12,7 +12,7 @@ https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_2.co
 https://conda.anaconda.org/conda-forge/linux-64/gh-2.32.1-ha8f183a_0.conda#220ab331a2770ab9fbe7302751d6eafd
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 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-h55db66e_0.conda#10569984e7db886e4f1abc2b47ad79a1
-https://conda.anaconda.org/conda-forge/linux-64/libboost-headers-1.84.0-ha770c72_2.conda#85d30a3fcc0f1cfc252776208af546a1
+https://conda.anaconda.org/conda-forge/linux-64/libboost-headers-1.85.0-ha770c72_1.conda#012455a6eddcbf487ef0ddd1715f0b80
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_7.conda#53ebd4c833fa01cb2c6353e99f905406
 https://conda.anaconda.org/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda#d8d7293c5b37f39b2ac32940621c6592
 https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-4_cp311.conda#d786502c97404c94d7d58d258a445a65
@@ -24,9 +24,9 @@ https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2#
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2#fee5683a3f04bd15cbd8318b096a27ab
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 https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.11-hd590300_1.conda#0bb492cca54017ea314b809b1ee3a176
-https://conda.anaconda.org/conda-forge/linux-64/aom-3.8.2-h59595ed_0.conda#625e1fed28a5139aed71b3a76117ef84
+https://conda.anaconda.org/conda-forge/linux-64/aom-3.9.0-hac33072_0.conda#93a3bf248e5bc729807db198a9c89f07
 https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.1-h166bdaf_1.tar.bz2#d9c69a24ad678ffce24c6543a0176b00
-https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.15-hd590300_0.conda#ad8955a300fd09e97e76c38638ac7157
+https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.17-h4ab18f5_0.conda#97d60c6b52391872febd35fab0a30159
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda#69b8b6202a07720f448be700e300ccf4
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 https://conda.anaconda.org/conda-forge/linux-64/charls-2.4.2-h59595ed_0.conda#4336bd67920dd504cd8c6761d6a99645
@@ -63,13 +63,12 @@ https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-hca663fb_7.c
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-https://conda.anaconda.org/conda-forge/linux-64/libnl-3.9.0-hd590300_0.conda#d27c451db4f1d3c983c78167d2fdabc2
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-https://conda.anaconda.org/conda-forge/linux-64/libspatialindex-1.9.3-h9c3ff4c_4.tar.bz2#d87fbe9c0ff589e802ff13872980bfd9
+https://conda.anaconda.org/conda-forge/linux-64/libspatialindex-1.9.3-he02047a_5.conda#659e6a5c5c7a811bd99e26375cb798b9
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@@ -84,7 +83,7 @@ https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.9.4-hcb278e6_0.conda#318
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-https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.4.20240210-h59595ed_0.conda#97da8860a0da5413c7c98a3b3838a645
+https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h59595ed_0.conda#fcea371545eda051b6deafb24889fc69
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 https://conda.anaconda.org/conda-forge/linux-64/nspr-4.35-h27087fc_0.conda#da0ec11a6454ae19bff5b02ed881a2b1
@@ -114,15 +113,15 @@ https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2#2161
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-https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.6.11-heb1d5e4_0.conda#98784bb35b316e2ba8698f4a75326e9a
-https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.18-hce8ee76_3.conda#b19224a5179ecb512c4aac9f8a6d57a7
-https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.1.15-hce8ee76_3.conda#0c4f0205a1ae4ca6c89af922ec54271c
-https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.1.18-hce8ee76_3.conda#9aa734a17b9b0b793c7696435fe7789a
+https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.6.12-h2ba76a8_0.conda#da9257187c044a2a8f52507fea68a4c3
+https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.18-h36a0aea_4.conda#ce9d15eeabc21f9936410382e20c2908
+https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.1.16-h36a0aea_0.conda#2555c5ffa3a60fde5a940c5c9f4327cc
+https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.1.18-h36a0aea_4.conda#bd99b76853edcc6fae6a901900bba995
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-https://conda.anaconda.org/conda-forge/linux-64/libavif16-1.0.4-hd9d6309_2.conda#a8c65cba5f77abc1f2e85ab9a0e614aa
+https://conda.anaconda.org/conda-forge/linux-64/libavif16-1.0.4-hfa3d5b6_3.conda#3518d00de414c39b46d87dcc1ff65661
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@@ -143,7 +142,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.0-h0841786_0.conda#
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-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.6-h232c23b_2.conda#9a3a42df8a95f65334dfc7b80da1195d
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.7-hc051c1a_0.conda#5d801a4906adc712d480afc362623b59
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@@ -152,16 +151,15 @@ https://conda.anaconda.org/conda-forge/linux-64/p11-kit-0.24.1-hc5aa10d_0.tar.bz
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-https://conda.anaconda.org/conda-forge/linux-64/s2n-1.4.12-h06160fa_0.conda#bf1899cfd6dea061a220fa7e96a1f4bd
+https://conda.anaconda.org/conda-forge/linux-64/s2n-1.4.13-he19d79f_0.conda#51db7e9c0cd527aea7691e7405df33bf
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+https://conda.anaconda.org/conda-forge/linux-64/aws-c-io-0.14.8-h96d4d28_0.conda#417d99cf69a0e6f40251815ca7622273
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@@ -171,13 +169,12 @@ https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda
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-https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.10.0-default_h2fb2949_1000.conda#7e3726e647a619c6ce5939014dfde86d
+https://conda.anaconda.org/conda-forge/linux-64/libglib-2.80.2-hf974151_0.conda#72724f6a78ecb15559396966226d5838
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@@ -185,12 +182,11 @@ https://conda.anaconda.org/conda-forge/linux-64/minizip-4.0.5-h0ab5242_0.conda#5
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+https://conda.anaconda.org/conda-forge/linux-64/nss-3.100-hca3bf56_0.conda#949c4a82290ee58b3c970cef4bcfd4ad
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 https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.3.10-py311h375a7ea_0.conda#edc4a14a8bef2be9fbe6906ce75c0939
-https://conda.anaconda.org/conda-forge/noarch/earthengine-api-0.1.401-pyhd8ed1ab_0.conda#39212468fcf4daf4411b7c21f75a47b7
+https://conda.anaconda.org/conda-forge/noarch/earthengine-api-0.1.403-pyhd8ed1ab_0.conda#3403841715fb69b66937c8597ffe864a
 https://conda.anaconda.org/conda-forge/linux-64/fiona-1.9.6-py311hf8e0aa6_0.conda#80e9901639787044e91155e9a99d706d
 https://conda.anaconda.org/conda-forge/noarch/gcsfs-2023.6.0-pyhd8ed1ab_0.conda#6369d600f32e61f19bcee2ae4ad19694
 https://conda.anaconda.org/conda-forge/noarch/geoviews-1.10.1-pyhd8ed1ab_0.conda#08f49562f35d932cb35047016c46bde3
@@ -694,20 +690,20 @@ https://conda.anaconda.org/conda-forge/noarch/jupyter-server-proxy-4.1.2-pyhd8ed
 https://conda.anaconda.org/conda-forge/noarch/jupyterlab-h5web-11.1.0-pyhd8ed1ab_0.conda#7a24c2d8f78dcb2edf72ac3405637308
 https://conda.anaconda.org/conda-forge/noarch/jupyterlab-myst-2.4.2-pyhd8ed1ab_0.conda#cc481204ea9c53cda7ac187efa0268a1
 https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.1-pyhd8ed1ab_0.conda#d97923b777ce837cf67e7858ac600834
-https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-15.0.2-he4f5ca8_6_cpu.conda#cf594f6982de20afedf7aeb6602ceb89
+https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-16.0.0-h7e0c224_1_cpu.conda#0bef58136c2627be09f838add7826e80
 https://conda.anaconda.org/conda-forge/noarch/nbconvert-6.5.3-pyhd8ed1ab_0.tar.bz2#65405814acdd53789db27aaf3cb6c0c6
 https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda#3d85618e2c97ab896b5b5e298d32b5b3
 https://conda.anaconda.org/conda-forge/linux-64/qgis-3.34.6-py311hd2f9dbe_1.conda#9025ccf7189c09de7e004eee1558aa68
-https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.14.1-pyhd8ed1ab_0.conda#5156f4c96119e2832419a9b17cb82cab
+https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.15.5-pyhd8ed1ab_0.conda#cd7e6bfce5f8d758267c79d54bf108e7
 https://conda.anaconda.org/conda-forge/noarch/ee_extra-0.0.15-pyhd8ed1ab_0.conda#79aabb8c948276f55e2ba4ed8d1fd9cf
 https://conda.anaconda.org/conda-forge/noarch/eerepr-0.0.4-pyhd8ed1ab_0.conda#79fa01f350230710f970400598b905b7
 https://conda.anaconda.org/conda-forge/noarch/geeadd-0.5.6-pyhd8ed1ab_0.tar.bz2#a5cf57778f34bb5e81779393176bb5c5
 https://conda.anaconda.org/conda-forge/noarch/geopandas-0.13.2-pyhd8ed1ab_1.conda#47226a55e4ae3bc9feb3a17925874817
 https://conda.anaconda.org/conda-forge/noarch/jupyter-syncthing-proxy-1.0.3-pyhd8ed1ab_0.conda#85c9949446d54c1b80c83e0357703174
-https://conda.anaconda.org/conda-forge/noarch/jupyter-vscode-proxy-0.5-pyhd8ed1ab_0.conda#97e6ff376f730a316fb9d74c5c54c5a1
+https://conda.anaconda.org/conda-forge/noarch/jupyter-vscode-proxy-0.6-pyhd8ed1ab_0.conda#15af47d9ba08dc87c4dcb09eb5000b05
 https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.13-pyhd8ed1ab_1.conda#ecd185ca21cde21c72aef6daf2f77226
 https://conda.anaconda.org/conda-forge/noarch/nbdime-4.0.1-pyhd8ed1ab_0.conda#dd76d44a144499f8ff3254fd20cdb7a2
-https://conda.anaconda.org/conda-forge/linux-64/pyarrow-15.0.2-py311hd5e4297_6_cpu.conda#24a54db56d54e6420e5310ddf4f9f398
+https://conda.anaconda.org/conda-forge/linux-64/pyarrow-16.0.0-py311h781c19f_0.conda#48687e7576f8cd29831fe675210b20a3
 https://conda.anaconda.org/conda-forge/noarch/pygmt-0.10.0-pyhd8ed1ab_0.conda#183fbc58926e0eab4d6d09e8334b87b6
 https://conda.anaconda.org/conda-forge/noarch/sankee-0.2.5-pyhd8ed1ab_0.conda#3f98d1afd6d7bf60f8169aca52d56978
 https://conda.anaconda.org/conda-forge/noarch/dask-expr-1.1.0-pyhd8ed1ab_0.conda#95a084542b8a658f828ade60dcfa3ae7
diff --git a/environment.yml b/environment.yml
index 3584d99..290e0df 100644
--- a/environment.yml
+++ b/environment.yml
@@ -52,6 +52,7 @@ dependencies:
 
   # Core scientific python stack
   - cython==0.29.32 # optimization, C API access
+  - flox~=0.9.7 # optimization, xarray operations
   - hypothesis==6.58.0 # needed by numpy testing tools
   - networkx==2.8.8
   - numba~=0.58.1 # high-performance numerics
@@ -59,10 +60,10 @@ dependencies:
   - pandas>=2.0.1,<3.0
   - scikit-image==0.19.3
   - scikit-learn>=1.2.2,<2.0.0
-  - scipy==1.9.3
+  - scipy>=1.10
   - statsmodels==0.13.5
   - sympy~=1.12
-  - xarray>=2023.05.0
+  - xarray>=2024.05.0
 
   # Visualization packages
   - bokeh~=3.2.2
@@ -80,15 +81,15 @@ dependencies:
   - geopandas~=0.13.2
   - pygmt~=0.10.0
   - rasterio~=1.3
-  - rioxarray~=0.14.1
-  - xarray-datatree~=0.0.12
+  - rioxarray~=0.15.5
 
   # File formats and file management, download, dataset caching
   - h5py~=3.8
   - hdf5~=1.14
-  - h5netcdf==1.1.0
+  - h5netcdf~=1.3.0
   - nco~=5.1.6
   - pooch==1.6.0
+  - zarr~=2.18
 
   # Cloud access tools and libraries
   - awscli~=1.27.76