【Ultra-Light & Waterproof】Crafted with 15D Nylon fabric, this rain skirt is ultra-lightweight, waterproof, and tear-resistant, you stay dry and comfortable in any weather condition.
【Versatile Outdoor Companion】Designed for outdoor enthusiasts, this rain skirt is perfect for activities like hiking, camping, mountaineering, and fishing. It comes with a compact storage bag for easy folding and carrying in your bag or pack.
【Adjustable Waist】Featuring a full adjustment range of 6-39.3 inches, this rain skirt offers a comfortable fit for various waist sizes, providing freedom of movement during outdoor adventures.
【Convenient Fastener Tape】Equipped with fastener tape, this rain skirt allows for quick and easy on/off, saving you time and hassle when unexpected rain hits.
【Multi-purpose Design】Not just a rain skirt, this versatile product can also be used as a ground cloth, rain cover, or camping ground cloth when unfolded, adding extra convenience and functionality to your outdoor experience.
وصف
15D Nylon Ultra-Light Rain Skirt Waterproof Kilt Rain Pants Cycling Camping Hiking Rain Pants Half
Features:
* Designed to keep you dry and comfortable in any weather.
* With a compact storage bag, easy to fold and carry in your bag or pack, making it perfect for outdoor activities like mountaineering, camping, hiking, and fishing.
* 15D Nylon fabric materials, lightweight, waterproof, and tear-resistant.
* Full adjustment suggested for 23.6-39.3in waist.
* Fastener tape for easy and quick on/off.
* Use it as a ground cloth or rain cover, or even as a camping ground cloth when unfolded.
Specification:
Material: 15D Nylon
Color: Blue, White, Black (optional)
Suggested waist: 60-100cm
Size: 177 * 72cm
Weight: 60g
Package weight: 70g
Package size: 13 * 8cm
Package Includes:
1 * Rain Skirt
1 * Storage Pouch
Note:
1. The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.
2. Please allow slight manual measurement deviation for the data.