diff --git a/src/pg_rad/main.py b/src/pg_rad/main.py
index f30f478..f83be0f 100644
--- a/src/pg_rad/main.py
+++ b/src/pg_rad/main.py
@@ -98,7 +98,7 @@ def main():
         if args.showplots:
             plotter.plot()
 
-        if not (args.save and args.showplots):
+        if not (args.save or args.showplots):
             logger.warning(
                 "No output produced. Use --save flag to save outputs and/or "
                 "--showplots to display interactive plots."
diff --git a/src/pg_rad/simulator/engine.py b/src/pg_rad/simulator/engine.py
index 7b8c950..f22305c 100644
--- a/src/pg_rad/simulator/engine.py
+++ b/src/pg_rad/simulator/engine.py
@@ -34,6 +34,7 @@ class SimulationEngine:
 
         return SimulationOutput(
             name=self.landscape.name,
+            size=self.landscape.size,
             count_rate=count_rate_results,
             sources=source_results
         )
diff --git a/src/pg_rad/simulator/outputs.py b/src/pg_rad/simulator/outputs.py
index 9aca77e..404e742 100644
--- a/src/pg_rad/simulator/outputs.py
+++ b/src/pg_rad/simulator/outputs.py
@@ -27,5 +27,6 @@ class SourceOutput:
 @dataclass
 class SimulationOutput:
     name: str
+    size: tuple
     count_rate: CountRateOutput
     sources: List[SourceOutput]
diff --git a/src/pg_rad/utils/export.py b/src/pg_rad/utils/export.py
index 0d9fffd..a4c38ca 100644
--- a/src/pg_rad/utils/export.py
+++ b/src/pg_rad/utils/export.py
@@ -1,9 +1,11 @@
+from dataclasses import asdict
 from datetime import datetime as dt
+import json
 import os
 import logging
 import re
 
-from numpy import array, full_like
+from numpy import array, full_like, ndarray
 from pandas import DataFrame
 
 from pg_rad.simulator.outputs import SimulationOutput
@@ -12,6 +14,13 @@ from pg_rad.simulator.outputs import SimulationOutput
 logger = logging.getLogger(__name__)
 
 
+class NumpyEncoder(json.JSONEncoder):
+    def default(self, obj):
+        if isinstance(obj, ndarray):
+            return obj.tolist()
+        return super().default(obj)
+
+
 def generate_folder_name(sim: SimulationOutput) -> str:
     formatted_sim_name = re.sub(r"\s+", '_',  sim.name.lower())
     folder_name = (
@@ -35,9 +44,18 @@ def save_results(sim: SimulationOutput, folder_name: str) -> None:
     df = generate_df(sim)
     csv_name = generate_csv_name(sim)
     df.to_csv(f"{folder_name}/{csv_name}.csv", index=False)
+    with open(f"{folder_name}/parameters.json", 'w') as f:
+        json.dump(generate_sim_param_dict(sim), f, cls=NumpyEncoder)
     logger.info(f"Simulation output saved to {folder_name}!")
 
 
+def generate_sim_param_dict(sim: SimulationOutput) -> dict:
+    """Parse simulation parameters and hyperparameters to dictionary."""
+    d = asdict(sim)
+    d.pop('count_rate')
+    return d
+
+
 def generate_df(sim: SimulationOutput) -> DataFrame:
     """Parse simulation output to CSV format and the name of CSV."""
 
@@ -62,6 +80,7 @@ def generate_df(sim: SimulationOutput) -> DataFrame:
 def generate_csv_name(sim: SimulationOutput) -> str:
     """Generate CSV name according to Alex' specification"""
     num_src = len(sim.sources)
+    src_ids = [str(i+1) for i in range(num_src)]
     bkg_cps = round(sim.count_rate.mean_bkg_cps)
     source_param_strings = [
         [
@@ -81,5 +100,6 @@ def generate_csv_name(sim: SimulationOutput) -> str:
 
         src_str = "_".join(src_str_array.flat)
 
-    csv_name = f"{num_src}_src_{bkg_cps}_cps_bkg_{src_str}"
+    src_ids_str = "_".join(src_ids)
+    csv_name = f"{src_ids_str}_src_{bkg_cps}_cps_bkg_{src_str}"
     return csv_name