diff --git a/test/conftest.py b/test/conftest.py
index 9ac7bbf..587df88 100644
--- a/test/conftest.py
+++ b/test/conftest.py
@@ -11,6 +11,15 @@
 
 def pytest_addoption(parser):
     parser.addoption("--skip-ftp", action='store_true', default=False)
+    parser.addoption("--run-slow", action="store_true", default=False, help="Run slow tests")
+
+
+def pytest_collection_modifyitems(config, items):
+    if not config.getoption("--run-slow"):
+        skipper = pytest.mark.skip(reason="Only run when --run-slow is given")
+        for item in items:
+            if "slow" in item.keywords:
+                item.add_marker(skipper)
 
 
 @pytest.fixture(scope='session', autouse=True)
@@ -22,7 +31,7 @@ def skip_ftp(request):
 def setup_cfg(skip_ftp):
     logger.info("setting up config")
     with TemporaryDirectory() as tempdir:
-        config.set_base_dir(tempdir)
+        config.base_dir = tempdir
         config.madrigal_user_affil = 'bu'
         config.madrigal_user_email = 'gstarr@bu.edu'
         config.madrigal_user_name = 'gregstarr'
diff --git a/test/test_arb.py b/test/test_arb.py
index beb7f8b..dfc0f24 100644
--- a/test/test_arb.py
+++ b/test/test_arb.py
@@ -70,7 +70,7 @@ def test_download_arb(test_dates, download_dir):
     ['dt', 'mlt_vals'],
     itertools.product(
         [np.timedelta64(30, 'm'), np.timedelta64(1, 'h'), np.timedelta64(2, 'h')],
-        [config.get_mlt_vals(), np.arange(10)]
+        [config.mlt_vals, np.arange(10)]
     )
 )
 def test_process_arb(download_dir, processed_dir, test_dates, dt, mlt_vals):
@@ -94,13 +94,13 @@ def test_process_arb_out_of_range(download_dir, processed_dir, test_dates):
     start, end = [date - timedelta(days=100) for date in test_dates]
     processed_file = Path(processed_dir) / 'arb_test.nc'
     with pytest.raises(InvalidProcessDates):
-        process_interval(start, end, 'north', processed_file, download_dir, config.get_mlt_vals(), dt)
+        process_interval(start, end, 'north', processed_file, download_dir, config.mlt_vals, dt)
 
 
 def test_get_arb_data(download_dir, processed_dir, test_dates):
     start, end = test_dates
     dt = np.timedelta64(1, 'h')
-    mlt = config.get_mlt_vals()
+    mlt = config.mlt_vals
     correct_times = np.arange(np.datetime64(start), np.datetime64(end) + dt, dt)
     processed_file = get_arb_paths(start, end, 'north', processed_dir)[0]
     process_interval(start, end, 'north', processed_file, download_dir, mlt, dt)
@@ -124,7 +124,7 @@ def test_scripts(test_dates):
             data = get_arb_data(start, end, 'north', cfg.processed_arb_dir)
             data.load()
             dt = np.timedelta64(1, 'h')
-            mlt = config.get_mlt_vals()
+            mlt = config.mlt_vals
             correct_times = np.arange(np.datetime64(test_dates[0]), np.datetime64(test_dates[-1]) + dt, dt)
             assert data.shape == (correct_times.shape[0], mlt.shape[0])
             assert (data.mlt == mlt).all().item()
diff --git a/test/test_tec.py b/test/test_tec.py
index af89053..3d65f6a 100644
--- a/test/test_tec.py
+++ b/test/test_tec.py
@@ -122,8 +122,8 @@ def test_download_tec(test_dates, download_dir):
     ['dt', 'mlt_bins', 'mlat_bins'],
     itertools.product(
         [np.timedelta64(10, 'm'), np.timedelta64(30, 'm'), np.timedelta64(1, 'h'), np.timedelta64(2, 'h')],
-        [config.get_mlt_bins(), np.arange(10)],
-        [config.get_mlat_bins(), np.arange(10)]
+        [config.mlt_bins, np.arange(10)],
+        [config.mlat_bins, np.arange(10)]
     )
 )
 def test_process_tec(download_dir, process_dir, test_dates, dt, mlt_bins, mlat_bins):
@@ -153,14 +153,14 @@ def test_process_tec_out_of_range(download_dir, process_dir, test_dates):
     start, end = [date - timedelta(days=100) for date in test_dates]
     processed_file = Path(process_dir) / 'tec_test.nc'
     with pytest.raises(InvalidProcessDates):
-        process_interval(start, end, 'north', processed_file, download_dir, dt, config.get_mlat_bins(), config.get_mlt_bins())
+        process_interval(start, end, 'north', processed_file, download_dir, dt, config.mlat_bins, config.mlt_bins)
 
 
 def test_get_tec_data(download_dir, process_dir, test_dates):
     start, end = test_dates
     dt = np.timedelta64(1, 'h')
-    mlt_bins = config.get_mlt_bins()
-    mlat_bins = config.get_mlat_bins()
+    mlt_bins = config.mlt_bins
+    mlat_bins = config.mlat_bins
     mlt_vals = (mlt_bins[:-1] + mlt_bins[1:]) / 2
     mlat_vals = (mlat_bins[:-1] + mlat_bins[1:]) / 2
     correct_times = np.arange(np.datetime64(start), np.datetime64(end) + dt, dt)
@@ -191,8 +191,8 @@ def test_scripts(test_dates):
                 data = get_tec_data(start, end, hemisphere, cfg.processed_tec_dir)
                 data.load()
                 dt = np.timedelta64(1, 'h')
-                mlt_vals = config.get_mlt_vals()
-                mlat_vals = config.get_mlat_vals()
+                mlt_vals = config.mlt_vals
+                mlat_vals = config.mlat_vals
                 correct_times = np.arange(np.datetime64(test_dates[0]), np.datetime64(test_dates[-1]) + dt, dt)
                 h = 1 if hemisphere == 'north' else -1
                 assert data.shape == (correct_times.shape[0], mlat_vals.shape[0], mlt_vals.shape[0])
diff --git a/test/test_trough.py b/test/test_trough.py
index 2c4e429..6899eeb 100644
--- a/test/test_trough.py
+++ b/test/test_trough.py
@@ -30,7 +30,7 @@ def test_preprocess_interval():
 
 
 def test_model_artificial_example():
-    mlt_grid, mlat_grid = np.meshgrid(config.get_mlt_vals(), config.get_mlat_vals())
+    mlt_grid, mlat_grid = np.meshgrid(config.mlt_vals, config.mlat_vals)
     times = np.datetime64("2000") + np.arange(4) * np.timedelta64(1, 'h')
     # nominal labels
     labels1 = abs(mlat_grid - 65) <= 2
@@ -46,7 +46,7 @@ def test_model_artificial_example():
     shp = (4,) + mlat_grid.shape
     det_log_tec = det_log_tec.reshape(shp)
     det_log_tec += np.random.randn(*shp) * .1
-    coords = {'time': times, 'mlat': config.get_mlat_vals(), 'mlt': config.get_mlt_vals()}
+    coords = {'time': times, 'mlat': config.mlat_vals, 'mlt': config.mlt_vals}
     data = xr.Dataset({
         'x': xr.DataArray(
             det_log_tec,
@@ -55,7 +55,7 @@ def test_model_artificial_example():
         ),
         'model': xr.DataArray(
             np.ones((times.shape[0], mlt_grid.shape[1])) * 65,
-            coords={'time': times, 'mlt': config.get_mlt_vals()},
+            coords={'time': times, 'mlt': config.mlt_vals},
             dims=['time', 'mlt']
         ),
     })
@@ -72,7 +72,7 @@ def test_postprocess():
     """verify that small troughs are rejected, verify that troughs that wrap around the border are not incorrectly
     rejected
     """
-    mlt_grid, mlat_grid = np.meshgrid(config.get_mlt_vals(), config.get_mlat_vals())
+    mlt_grid, mlat_grid = np.meshgrid(config.mlt_vals, config.mlat_vals)
     good_labels = (abs(mlat_grid - 65) < 3) * (abs(mlt_grid) < 2)
     small_reject = (abs(mlat_grid - 52) <= 1) * (abs(mlt_grid - 4) <= .5)
     boundary_good_labels = (abs(mlat_grid - 65) < 3) * (abs(mlt_grid) >= 10.2)
@@ -83,7 +83,7 @@ def test_postprocess():
     high_labels = (abs(mlat_grid - 80) < 2) * (abs(mlt_grid + 6) <= 3)
     arb = np.ones((1, 180)) * 70
     initial_labels = good_labels + small_reject + boundary_good_labels + boundary_bad_labels + weird_good_labels + high_labels
-    coords = {'time': [0], 'mlat': config.get_mlat_vals(), 'mlt': config.get_mlt_vals()}
+    coords = {'time': [0], 'mlat': config.mlat_vals, 'mlt': config.mlt_vals}
     data = xr.Dataset({
         'labels': xr.DataArray(
             initial_labels[None],
@@ -92,7 +92,7 @@ def test_postprocess():
         ),
         'arb': xr.DataArray(
             arb,
-            coords={'time': [0], 'mlt': config.get_mlt_vals()},
+            coords={'time': [0], 'mlt': config.mlt_vals},
             dims=['time', 'mlt']
         ),
     })
@@ -217,3 +217,46 @@ def test_script(dates):
             data.load()
             assert data.time.shape[0] == n_times
             data.close()
+
+
+def test_script_multiple_config():
+    start_date = datetime(2015, 3, 17, 5, 0, 0)
+    end_date = datetime(2015, 3, 17, 15, 0, 0)
+    offset = timedelta(hours=5)
+    with TemporaryDirectory() as tempdir:
+        with config.temp_config(base_dir=tempdir):
+            scripts.full_run(start_date, end_date)
+        with config.temp_config(base_dir=tempdir, time_res_n=30, time_res_unit='m'):
+            scripts.full_run(start_date + offset, end_date + offset)
+        with config.temp_config(base_dir=tempdir):
+            n_files = len([p for p in Path(config.processed_labels_dir).glob('labels*.nc')])
+            n_times = 1 + ((end_date - start_date) / timedelta(hours=1))
+            assert n_files == (end_date.year - start_date.year + 1) * 2
+            data = get_data(start_date, end_date, 'north')
+            data.load()
+            assert data.time.shape[0] == n_times
+            data.close()
+        with config.temp_config(base_dir=tempdir, time_res_n=30, time_res_unit='m'):
+            n_files = len([p for p in Path(config.processed_labels_dir).glob('labels*.nc')])
+            n_times = 1 + ((end_date - start_date) / timedelta(minutes=30))
+            assert n_files == (end_date.year - start_date.year + 1) * 2
+            data = get_data(start_date + offset, end_date + offset, 'north')
+            data.load()
+            assert data.time.shape[0] == n_times
+            data.close()
+
+
+@pytest.mark.slow
+def test_date_error():
+    start_date = datetime(2015, 3, 17)
+    end_date = datetime(2015, 3, 18)
+    n_times = 1 + ((end_date - start_date) / timedelta(minutes=30))
+    with TemporaryDirectory() as tempdir:
+        with config.temp_config(base_dir=tempdir, time_res_n=30, time_res_unit='m'):
+            scripts.full_run(start_date, end_date)
+            n_files = len([p for p in Path(config.processed_labels_dir).glob('labels*.nc')])
+            assert n_files == (end_date.year - start_date.year + 1) * 2
+            data = get_data(start_date, end_date, 'north')
+            data.load()
+            assert data.time.shape[0] == n_times
+            data.close()
diff --git a/trough/_arb.py b/trough/_arb.py
index a0454d7..eed62b7 100644
--- a/trough/_arb.py
+++ b/trough/_arb.py
@@ -113,9 +113,9 @@ def process_auroral_boundary_dataset(start_date, end_date, download_dir=None, pr
     if process_dir is None:
         process_dir = config.processed_arb_dir
     if mlt_vals is None:
-        mlt_vals = config.get_mlt_vals()
+        mlt_vals = config.mlt_vals
     if dt is None:
-        dt = np.timedelta64(1, 'h')
+        dt = config.sample_dt
     Path(process_dir).mkdir(exist_ok=True, parents=True)
 
     for year in range(start_date.year, end_date.year + 1):
diff --git a/trough/_config.py b/trough/_config.py
index 57d76be..ebb18fc 100644
--- a/trough/_config.py
+++ b/trough/_config.py
@@ -26,28 +26,6 @@ def dict(self):
         return dataclasses.asdict(self)
 
 
-def _get_default_directory_structure(base_dir):
-    base = Path(base_dir)
-    download_base = base / 'download'
-    processed_base = base / 'processed'
-    download_tec_dir = download_base / 'tec'
-    download_arb_dir = download_base / 'arb'
-    download_omni_dir = download_base / 'omni'
-    processed_tec_dir = processed_base / 'tec'
-    processed_arb_dir = processed_base / 'arb'
-    processed_omni_file = processed_base / 'omni.nc'
-    processed_labels_dir = processed_base / 'labels'
-    return {
-        'download_tec_dir': str(download_tec_dir),
-        'download_arb_dir': str(download_arb_dir),
-        'download_omni_dir': str(download_omni_dir),
-        'processed_tec_dir': str(processed_tec_dir),
-        'processed_arb_dir': str(processed_arb_dir),
-        'processed_omni_file': str(processed_omni_file),
-        'processed_labels_dir': str(processed_labels_dir),
-    }
-
-
 trough_dirs = appdirs.AppDirs(appname='trough')
 
 
@@ -66,14 +44,7 @@ def parse_date(date_str):
 class Config:
 
     def __init__(self, config_path=None):
-        default_dirs = _get_default_directory_structure(trough_dirs.user_data_dir)
-        self.download_tec_dir = default_dirs['download_tec_dir']
-        self.download_arb_dir = default_dirs['download_arb_dir']
-        self.download_omni_dir = default_dirs['download_omni_dir']
-        self.processed_tec_dir = default_dirs['processed_tec_dir']
-        self.processed_arb_dir = default_dirs['processed_arb_dir']
-        self.processed_omni_file = default_dirs['processed_omni_file']
-        self.processed_labels_dir = default_dirs['processed_labels_dir']
+        self.base_dir = trough_dirs.user_data_dir
         self.trough_id_params = TroughIdParams()
         self.madrigal_user_name = None
         self.madrigal_user_email = None
@@ -95,40 +66,74 @@ def __init__(self, config_path=None):
         if config_path is not None:
             self.load_json(config_path)
 
-    def get_config_name(self):
+    @property
+    def config_name(self):
         cfg = self.dict()
         return f"{cfg['script_name']}_{cfg['start_date']}_{cfg['end_date']}_config.json"
 
-    def get_mlat_bins(self):
+    @property
+    def mlat_bins(self):
         return np.arange(self.mlat_min - self.lat_res / 2, 90, self.lat_res)
 
-    def get_mlat_vals(self):
+    @property
+    def mlat_vals(self):
         return np.arange(self.mlat_min, 90, self.lat_res)
 
-    def get_mlt_bins(self):
+    @property
+    def mlt_bins(self):
         return np.arange(-12, 12 + 24 / 360, self.lon_res * 24 / 360)
 
-    def get_mlt_vals(self):
+    @property
+    def mlt_vals(self):
         return np.arange(-12 + .5 * self.lon_res * 24 / 360, 12 + 24 / 360, self.lon_res * 24 / 360)
 
-    def get_sample_dt(self):
+    @property
+    def sample_dt(self):
         return np.timedelta64(self.time_res_n, self.time_res_unit)
 
+    @property
+    def download_base(self):
+        return str(Path(self.base_dir) / 'download')
+
+    @property
+    def processed_base(self):
+        return str(Path(self.base_dir) / f'processed_{self.lat_res}_{self.lon_res}_{self.time_res_n}{self.time_res_unit}')
+
+    @property
+    def download_tec_dir(self):
+        return str(Path(self.download_base) / 'tec')
+
+    @property
+    def download_arb_dir(self):
+        return str(Path(self.download_base) / 'arb')
+
+    @property
+    def download_omni_dir(self):
+        return str(Path(self.download_base) / 'omni')
+
+    @property
+    def processed_tec_dir(self):
+        return str(Path(self.processed_base) / 'tec')
+
+    @property
+    def processed_arb_dir(self):
+        return str(Path(self.processed_base) / 'arb')
+
+    @property
+    def processed_omni_file(self):
+        return str(Path(self.processed_base) / 'omni.nc')
+
+    @property
+    def processed_labels_dir(self):
+        return str(Path(self.processed_base) / 'labels')
+
     def load_json(self, config_path):
         with open(config_path) as f:
             params = json.load(f)
-        if 'base_dir' in params:
-            params.update(**_get_default_directory_structure(params['base_dir']))
         self.load_dict(params)
 
     def load_dict(self, config_dict):
-        self.download_tec_dir = config_dict.get('download_tec_dir', self.download_tec_dir)
-        self.download_arb_dir = config_dict.get('download_arb_dir', self.download_arb_dir)
-        self.download_omni_dir = config_dict.get('download_omni_dir', self.download_omni_dir)
-        self.processed_tec_dir = config_dict.get('processed_tec_dir', self.processed_tec_dir)
-        self.processed_arb_dir = config_dict.get('processed_arb_dir', self.processed_arb_dir)
-        self.processed_omni_file = config_dict.get('processed_omni_file', self.processed_omni_file)
-        self.processed_labels_dir = config_dict.get('processed_labels_dir', self.processed_labels_dir)
+        self.base_dir = config_dict.get('base_dir', self.base_dir)
         self.trough_id_params = config_dict.get('trough_id_params', self.trough_id_params)
         if not isinstance(self.trough_id_params, TroughIdParams):
             self.trough_id_params = TroughIdParams(**self.trough_id_params)
@@ -151,7 +156,7 @@ def load_dict(self, config_dict):
 
     def save(self, config_path=None):
         if config_path is None:
-            config_path = Path(trough_dirs.user_config_dir) / self.get_config_name()
+            config_path = Path(trough_dirs.user_config_dir) / self.config_name
         save_dict = self.dict().copy()
         Path(config_path).parent.mkdir(exist_ok=True, parents=True)
         with open(config_path, 'w') as f:
@@ -160,10 +165,6 @@ def save(self, config_path=None):
         cfg_pointer.write_text(str(config_path))
         print(f"Saved config and setting default: {config_path}")
 
-    def set_base_dir(self, base_dir):
-        data_dirs = _get_default_directory_structure(base_dir)
-        self.load_dict(data_dirs)
-
     def dict(self):
         param_dict = self.__dict__.copy()
         param_dict['trough_id_params'] = self.trough_id_params.dict()
@@ -178,8 +179,6 @@ def temp_config(self, **kwargs):
         original_params = self.dict().copy()
         new_params = original_params.copy()
         new_params.update(**kwargs)
-        if 'base_dir' in kwargs:
-            new_params.update(**_get_default_directory_structure(kwargs['base_dir']))
         try:
             self.load_dict(new_params)
             yield self
diff --git a/trough/_tec.py b/trough/_tec.py
index 64c94b7..11b5aa8 100644
--- a/trough/_tec.py
+++ b/trough/_tec.py
@@ -173,11 +173,11 @@ def process_tec_dataset(start_date, end_date, download_dir=None, process_dir=Non
     if process_dir is None:
         process_dir = config.processed_tec_dir
     if mlt_bins is None:
-        mlt_bins = config.get_mlt_bins()
+        mlt_bins = config.mlt_bins
     if mlat_bins is None:
-        mlat_bins = config.get_mlat_bins()
+        mlat_bins = config.mlat_bins
     if dt is None:
-        dt = np.timedelta64(1, 'h')
+        dt = config.sample_dt
     Path(process_dir).mkdir(exist_ok=True, parents=True)
 
     logger.info(f"processing tec dataset over interval {start_date=} {end_date=}")
diff --git a/trough/_trough.py b/trough/_trough.py
index 71c0245..9241aab 100644
--- a/trough/_trough.py
+++ b/trough/_trough.py
@@ -76,7 +76,12 @@ def _get_weighted_kp(times, omni_data, tau=.6, T=10):
     prehistory = np.column_stack([ap[T - i:ap.shape[0] - i] for i in range(T)])
     weight_factors = tau ** np.arange(T)
     ap_tau = np.sum((1 - tau) * prehistory * weight_factors, axis=1)
-    return 2.1 * np.log(.2 * ap_tau + 1)
+    values = 2.1 * np.log(.2 * ap_tau + 1)
+    if (times.values[1] - times.values[0]).astype('timedelta64[m]').astype(int) == 60:
+        return values
+    ut_initial = np.arange(times.values[0], times.values[-1] + np.timedelta64(1, 'h'), np.timedelta64(1, 'h')).astype('datetime64[s]').astype(int)
+    ut_final = times.values.astype('datetime64[s]').astype(int)
+    return np.interp(ut_final, ut_initial, values)
 
 
 def estimate_background(tec, patch_shape):
@@ -322,7 +327,10 @@ def get_data(start_date, end_date, hemisphere, tec_dir=None, omni_file=None, lab
         omni_file = config.processed_omni_file
     if labels_dir is None:
         labels_dir = config.processed_labels_dir
+    tec = _tec.get_tec_data(start_date, end_date, hemisphere, tec_dir)
     data = xr.open_dataset(omni_file).sel(time=slice(start_date, end_date))
-    data['tec'] = _tec.get_tec_data(start_date, end_date, hemisphere, tec_dir)
+    if (tec.time.values[1] - tec.time.values[0]).astype('timedelta64[m]').astype(int) != 60:
+        data = data.interp(time=tec.time)
+    data['tec'] = tec
     data['labels'] = get_trough_labels(start_date, end_date, hemisphere, labels_dir)
     return data