diff --git a/aimodel/slurm-TEST-deeplabv3p-rainfall.job b/aimodel/slurm-TEST-deeplabv3p-rainfall.job
new file mode 100755
index 0000000..e9291cb
--- /dev/null
+++ b/aimodel/slurm-TEST-deeplabv3p-rainfall.job
@@ -0,0 +1,66 @@
+#!/usr/bin/env bash
+#SBATCH -J DeepRain
+#SBATCH -N 1
+#SBATCH -n 14
+#SBATCH --gres=gpu:1
+#SBATCH -o %j.%N.%a.segment-mono.out.log
+#SBATCH -e %j.%N.%a.segment-mono.err.log
+#SBATCH -p gpu05,gpu
+#SBATCH --time=5-00:00:00
+#SBATCH --mem=30000
+# ---> in MiB
+
+module load utilities/multi
+module load readline/7.0
+module load gcc/10.2.0
+module load cuda/11.5.0
+
+module load python/anaconda/4.6/miniconda/3.7
+
+
+show_help() {
+	echo -e "Trains a TEST DeepLabv3+ model using rainfall radar and water depth data." >&2;
+	echo -e "" >&2;
+	echo -e "Usage:" >&2;
+	echo -e "    sbatch slurm-TEST-deeplabv3p-rainfall.job" >&2;
+	echo -e "" >&2;
+	echo -e "....where:" >&2;
+	echo -e "    IMAGE_SIZE=128		Optional. Sets the size of the 'images' that the DeepLabV3+ model will work with." >&2;
+	echo -e "    BATCH_SIZE=64		Optional. Sets the batch size to train the model with." >&2;
+	echo -e "    DIR_RAINFALL		The path to the directory the .tfrecord files containing the rainfall radar data." >&2;
+	echo -e "    PATH_HEIGHTMAP 	The path to the heightmap jsonl file to read in." >&2;
+	echo -e "    PATH_COLOURMAP 	The path to the colourmap for predictive purposes." >&2;
+	echo -e "    STEPS_PER_EPOCH	The number of steps to consider an epoch. Defaults to None, which means use the entire dataset." >&2;
+	echo -e "    POSTFIX			Postfix to append to the output dir (auto calculated)." >&2;
+	echo -e "    ARGS				Optional. Any additional arguments to pass to the python program." >&2;
+	echo -e "" >&2;
+	echo -e "It is strongly advised that all filepaths do NOT contain spaces." >&2;
+	echo -e "" >&2;
+	echo -e "The code used to identify the run is taken automatically from the filename of the config file." >&2;
+	exit;
+}
+
+DIR_RAINFALL="${DIR_RAINFALL:-$HOME/rainfallwater_records_tfrecord}";
+PATH_HEIGHTMAP="${PATH_HEIGHTMAP:-$HOME/data/terrain50-nimrodsized.json.gz}";
+PATH_COLOURMAP="${PATH_COLOURMAP:-$HOME/instance-level-human-parsing/instance-level_human_parsing/human_colormap.mat}";
+
+CODE="train_mono";
+
+if [[ -n "${POSTFIX}" ]]; then
+	echo -e ">>> Applying postfix of ${POSTFIX}" >&2;
+	CODE="${CODE}_${POSTFIX}";
+fi
+
+dir_output="output/$(date -u --rfc-3339=date)_${CODE}";
+
+echo -e ">>> Additional args: ${ARGS}";
+
+export PATH=$HOME/software/bin:$PATH;
+export 
+
+echo ">>> Installing requirements";
+conda run -n py38 pip install -r requirements.txt;
+echo ">>> Training model";
+#shellcheck disable=SC2086
+/usr/bin/env time -v conda run -n py38 src/deeplabv3_plus_test.py
+echo ">>> exited with code $?";