Fixed loop over years

ECMWF_query.py

@@ -9,7 +9,7 @@ def __init__(self):
 		# https://www.ecmwf.int/en/forecasts/access-forecasts/ecmwf-web-api
 		self.use_era5 = True
 
-		self.start_year = 1980
+		self.start_year = 1981
 		self.end_year =2019
 		self.resultsdir = "results"
 		self.debug = False

ECMWF_tools.py

@@ -17,7 +17,7 @@ def __init__(self):
 		self.server = cdsapi.Client(debug=self.config_ecmwf.debug)
 
 	def create_requests(self):
-		years = [self.config_ecmwf.start_year + y for y in range(1)]
+		years = [self.config_ecmwf.start_year + y for y in range(self.config_ecmwf.end_year)]
 
 		for year in years:
 			print("=> Downloading for year {}".format(year))

README.md

@@ -1,3 +1,7 @@
+[![Build status][image-1]][1]
+![CodeBeat][image-2]
+![CodeCov][image-3]
+
 # Download ERA5 and convert to ROMS format
 
 This toolbox enables you to download ERA5 atmospheric forcing data for your model domain for a specified period.  The toolbox uses the [*Climate Data Store*] Python API to connect and download specific variables required by ROMS to perform simulations with atmospheric forcing. These variables are included in the list below:
@@ -38,3 +42,8 @@ To run the toolbox after editing the settings simply run
 
 **Unittest**
 A few simple unittests are included in `test_ERA5.py`.
+
+[1]: https://buildkite.com/rask-dev-llc/era5-toolbox
+[image-1]:	https://badge.buildkite.com/9fe63ac4afc901fb503d10d67c26175d7071137729c00d1b17.svg
+[image-2]:	https://codebeat.co/badges/402a5755-c757-4a8d-a9a5-f9349aed8462
+[image-3]:	https://codecov.io/gh/trondkr/ERA5-ROMS/branch/master/graph/badge.svg