diff --git a/pygmt/session_management.py b/pygmt/session_management.py
index 4bb829835b9..750157679d4 100644
--- a/pygmt/session_management.py
+++ b/pygmt/session_management.py
@@ -1,7 +1,11 @@
 """
 Modern mode session management modules.
 """
+import os
+import sys
+
 from pygmt.clib import Session
+from pygmt.helpers import unique_name
 
 
 def begin():
@@ -12,6 +16,10 @@ def begin():
 
     Only meant to be used once for creating the global session.
     """
+    # On Windows, need to set GMT_SESSION_NAME to a unique value
+    if sys.platform == "win32":
+        os.environ["GMT_SESSION_NAME"] = unique_name()
+
     prefix = "pygmt-session"
     with Session() as lib:
         lib.call_module(module="begin", args=prefix)
diff --git a/pygmt/src/meca.py b/pygmt/src/meca.py
index dbe13d088af..98c8172717c 100644
--- a/pygmt/src/meca.py
+++ b/pygmt/src/meca.py
@@ -168,7 +168,7 @@ def convention_params(convention):
         ],
         "mt": ["mrr", "mtt", "mff", "mrt", "mrf", "mtf", "exponent"],
         "partial": ["strike1", "dip1", "strike2", "fault_type", "magnitude"],
-        "pricipal_axis": [
+        "principal_axis": [
             "t_value",
             "t_azimuth",
             "t_plunge",
@@ -401,7 +401,7 @@ def meca(  # noqa: PLR0912, PLR0913, PLR0915
     # Convert spec to pandas.DataFrame unless it's a file
     if isinstance(spec, (dict, pd.DataFrame)):  # spec is a dict or pd.DataFrame
         # determine convention from dict keys or pd.DataFrame column names
-        for conv in ["aki", "gcmt", "mt", "partial", "pricipal_axis"]:
+        for conv in ["aki", "gcmt", "mt", "partial", "principal_axis"]:
             if set(convention_params(conv)).issubset(set(spec.keys())):
                 convention = conv
                 break
diff --git a/pygmt/tests/test_clib_virtualfiles.py b/pygmt/tests/test_clib_virtualfiles.py
index 5c0e39d3467..669484a391d 100644
--- a/pygmt/tests/test_clib_virtualfiles.py
+++ b/pygmt/tests/test_clib_virtualfiles.py
@@ -34,6 +34,19 @@ def fixture_dtypes():
     return "int8 int16 int32 int64 uint8 uint16 uint32 uint64 float32 float64".split()
 
 
+@pytest.fixture(scope="module", name="dtypes_pandas")
+def fixture_dtypes_pandas(dtypes):
+    """
+    List of supported pandas dtypes.
+    """
+    dtypes_pandas = dtypes.copy()
+
+    if find_spec("pyarrow") is not None:
+        dtypes_pandas.extend([f"{dtype}[pyarrow]" for dtype in dtypes_pandas])
+
+    return tuple(dtypes_pandas)
+
+
 def test_virtual_file(dtypes):
     """
     Test passing in data via a virtual file with a Dataset.
@@ -248,11 +261,10 @@ def test_virtualfile_from_vectors_two_string_or_object_columns(dtype):
         assert output == expected
 
 
-def test_virtualfile_from_vectors_transpose():
+def test_virtualfile_from_vectors_transpose(dtypes):
     """
     Test transforming matrix columns to virtual file dataset.
     """
-    dtypes = "float32 float64 int32 int64 uint32 uint64".split()
     shape = (7, 5)
     for dtype in dtypes:
         data = np.arange(shape[0] * shape[1], dtype=dtype).reshape(shape)
@@ -315,16 +327,14 @@ def test_virtualfile_from_matrix_slice(dtypes):
             assert output == expected
 
 
-def test_virtualfile_from_vectors_pandas(dtypes):
+def test_virtualfile_from_vectors_pandas(dtypes_pandas):
     """
     Pass vectors to a dataset using pandas.Series, checking both numpy and pyarrow
     dtypes.
     """
     size = 13
-    if find_spec("pyarrow") is not None:
-        dtypes.extend([f"{dtype}[pyarrow]" for dtype in dtypes])
 
-    for dtype in dtypes:
+    for dtype in dtypes_pandas:
         data = pd.DataFrame(
             data={
                 "x": np.arange(size),
diff --git a/pygmt/tests/test_session_management.py b/pygmt/tests/test_session_management.py
index 079c2c4e02c..544c5f037de 100644
--- a/pygmt/tests/test_session_management.py
+++ b/pygmt/tests/test_session_management.py
@@ -1,7 +1,10 @@
 """
 Test the session management modules.
 """
+import multiprocessing as mp
 import os
+from importlib import reload
+from pathlib import Path
 
 import pytest
 from pygmt.clib import Session
@@ -57,3 +60,29 @@ def test_gmt_compat_6_is_applied(capsys):
         # Make sure no global "gmt.conf" in the current directory
         assert not os.path.exists("gmt.conf")
         begin()  # Restart the global session
+
+
+def _gmt_func_wrapper(figname):
+    """
+    A wrapper for running PyGMT scripts with multiprocessing.
+
+    Currently, we have to import pygmt and reload it in each process. Workaround from
+    https://github.com/GenericMappingTools/pygmt/issues/217#issuecomment-754774875.
+    """
+    import pygmt
+
+    reload(pygmt)
+    fig = pygmt.Figure()
+    fig.basemap(region=[10, 70, -3, 8], projection="X8c/6c", frame="afg")
+    fig.savefig(figname)
+
+
+def test_session_multiprocessing():
+    """
+    Make sure that multiprocessing is supported if pygmt is re-imported.
+    """
+    prefix = "test_session_multiprocessing"
+    with mp.Pool(2) as p:
+        p.map(_gmt_func_wrapper, [f"{prefix}-1.png", f"{prefix}-2.png"])
+    Path(f"{prefix}-1.png").unlink()
+    Path(f"{prefix}-2.png").unlink()