diff --git a/backend/src/validation/utils.py b/backend/src/validation/utils.py
index d08708e..7550f21 100644
--- a/backend/src/validation/utils.py
+++ b/backend/src/validation/utils.py
@@ -26,3 +26,17 @@ def validate_timestamp_start_date_before_end_date(startDate, endDate):
         raise HTTPException(
             status_code=400, detail="endDate must be after startDate")
     return endDate
+
+
+def validate_temperature_timestamp_in_range(start, end):
+    min_timestamp = -946771200  # 01/01/1940
+    max_timestamp = int(time.time()) # now
+    print(end)
+    print(max_timestamp)
+    if (start < min_timestamp or end > max_timestamp):
+        raise HTTPException(
+            status_code=400, detail=f"Timestamp must be between {min_timestamp} and {max_timestamp}")
+    elif end <= start:
+        raise HTTPException(
+            status_code=400, detail="endDate must be after startDate")
+    return end
\ No newline at end of file
diff --git a/backend/src/weather/schemas.py b/backend/src/weather/schemas.py
index b35891b..0cd7f84 100644
--- a/backend/src/weather/schemas.py
+++ b/backend/src/weather/schemas.py
@@ -4,7 +4,7 @@
 
 from src.constants import AggregationMethod, LocationName, TemporalResolution, Unit
 from src.validation.utils import (
-    validate_timestamp_in_range,
+    validate_temperature_timestamp_in_range,
     validate_timestamp_start_date_before_end_date,
 )
 
@@ -33,14 +33,9 @@ class WeatherDataRequest(BaseModel):
     )
     aggregation: AggregationMethod = Field(..., description="Aggregation method")
 
-    # Custom validator to check if timestamps are valid and in the correct order
-    @field_validator("startDate")
-    def validate_timestamp_in_range(cls, v):
-        return validate_timestamp_in_range(v)
-
     @field_validator("endDate")
-    def end_date_must_be_after_start_date(cls, v, info: ValidationInfo):
-        return validate_timestamp_start_date_before_end_date(
+    def validate_temperature_timestamp_in_range(cls, v, info: ValidationInfo):
+        return validate_temperature_timestamp_in_range(
             info.data.get("startDate"), v
         )